2016 conservation track: broad scale assessment, planning and management of public lands: blm’s landscape approach and rapid ecoregional assessments by kevin miller
D1T1 overview of the theoretical foundations for ecological niche modelsTown Peterson
The document discusses the BAM (Biotic, Abiotic, Movement) diagram, which is a heuristic for conceptualizing species' ecological niches and geographic distributions. It describes the three components of the BAM diagram - the abiotic niche defined by physiological requirements, the biotic niche defined by biotic interactions, and accessibility defined by a species' ability to disperse. The document also discusses Hutchinson's distinction between scenopoetic and bionomic variables and provides examples demonstrating the importance of dispersal limitations on species' distributions.
Ecological niche modeling uses species occurrence data and environmental data to build a model predicting a species' probability of presence in a given area. However, the process is more complicated than simply combining the two data sources. It involves carefully preparing and quality checking the data, choosing an appropriate area and method for model calibration, evaluating the model, and assessing whether the model can be extrapolated to other times or places. Many steps are required to produce an accurate ecological niche model.
A talk given at TERI University that explores major innovations and steps forward that could be taken to improve the entire paradigm of ecological niche modeling.
HUBBARD BROOK ECOSYSTEM STUDY, 52nd ANNUAL COOPERATORS' MEETING, Woodstock NH, Wednesday, 8 JULY 2015. Session l: Multiple Element Limitation Study Moderator: Ruth Yanai. Sapflow 2015: Does N or P also affect water use in the MELNHE plots?
Brigid Farrell and Isaac Jo, MELNHE,
Sapflow rates were taken from species of primary canopy dominance over a period of ten days. Optimal rates were used to assess overall productivity in sites of varying nutrient availability.
This document summarizes a study measuring the effects of calcium silicate (CaSiO3) addition on tree transpiration rates. Sap flow measurements were taken on control and CaSiO3 treatment plots at three sites, with 3 tree species monitored per plot. The results showed that tree species and time of day had a significant impact on transpiration rates. Additionally, the CaSiO3 treatment continued to have a significant effect on transpiration, with higher rates observed in the treatment plots even three years after application. Atmospheric conditions like radiation and vapor pressure deficit also explained a significant portion of transpiration variation.
2013 Poster Session, Geospatial Modeling of Mountain Pine Beetle Mortality by...GIS in the Rockies
Mountain pine beetle (Dendroctonus ponderosae) has infested 3.4 million acres of forest in Colorado since 1996 and continues to spread throughout the forests of western North America. This project identified the severity and extent of lodgepole pine (Pinus contorta) tree mortality at Fraser Experimental Forest (FEF). We mapped the spatial extent and severity of the outbreak using the Software for Assisted Habitat Modeling (SAHM) and a boosted regression tree model. The model combined satellite imagery from the Landsat 5 TM sensor, a variety of spectral vegetation indices, differenced satellite images (pre- and post-infestation), and field data collected at FEF. The results yielded a continuous mortality map showing the ratio of dead lodgepole pine to the basal area of all trees. The model accuracy was tested in R and had a cross validation (CV) correlation of 0.782 and an adjusted r-squared of 0.8072. The methodology from this project can be scaled up to assess mountain pine beetle impacts at a regional level. Results from this study will be used to enhance forest management efforts in mitigating hazards from standing dead trees and will provide a foundation for further research into the impacts of mountain pine beetle on wildlife habitat, hydrology, and recreation.
D1T1 overview of the theoretical foundations for ecological niche modelsTown Peterson
The document discusses the BAM (Biotic, Abiotic, Movement) diagram, which is a heuristic for conceptualizing species' ecological niches and geographic distributions. It describes the three components of the BAM diagram - the abiotic niche defined by physiological requirements, the biotic niche defined by biotic interactions, and accessibility defined by a species' ability to disperse. The document also discusses Hutchinson's distinction between scenopoetic and bionomic variables and provides examples demonstrating the importance of dispersal limitations on species' distributions.
Ecological niche modeling uses species occurrence data and environmental data to build a model predicting a species' probability of presence in a given area. However, the process is more complicated than simply combining the two data sources. It involves carefully preparing and quality checking the data, choosing an appropriate area and method for model calibration, evaluating the model, and assessing whether the model can be extrapolated to other times or places. Many steps are required to produce an accurate ecological niche model.
A talk given at TERI University that explores major innovations and steps forward that could be taken to improve the entire paradigm of ecological niche modeling.
HUBBARD BROOK ECOSYSTEM STUDY, 52nd ANNUAL COOPERATORS' MEETING, Woodstock NH, Wednesday, 8 JULY 2015. Session l: Multiple Element Limitation Study Moderator: Ruth Yanai. Sapflow 2015: Does N or P also affect water use in the MELNHE plots?
Brigid Farrell and Isaac Jo, MELNHE,
Sapflow rates were taken from species of primary canopy dominance over a period of ten days. Optimal rates were used to assess overall productivity in sites of varying nutrient availability.
This document summarizes a study measuring the effects of calcium silicate (CaSiO3) addition on tree transpiration rates. Sap flow measurements were taken on control and CaSiO3 treatment plots at three sites, with 3 tree species monitored per plot. The results showed that tree species and time of day had a significant impact on transpiration rates. Additionally, the CaSiO3 treatment continued to have a significant effect on transpiration, with higher rates observed in the treatment plots even three years after application. Atmospheric conditions like radiation and vapor pressure deficit also explained a significant portion of transpiration variation.
2013 Poster Session, Geospatial Modeling of Mountain Pine Beetle Mortality by...GIS in the Rockies
Mountain pine beetle (Dendroctonus ponderosae) has infested 3.4 million acres of forest in Colorado since 1996 and continues to spread throughout the forests of western North America. This project identified the severity and extent of lodgepole pine (Pinus contorta) tree mortality at Fraser Experimental Forest (FEF). We mapped the spatial extent and severity of the outbreak using the Software for Assisted Habitat Modeling (SAHM) and a boosted regression tree model. The model combined satellite imagery from the Landsat 5 TM sensor, a variety of spectral vegetation indices, differenced satellite images (pre- and post-infestation), and field data collected at FEF. The results yielded a continuous mortality map showing the ratio of dead lodgepole pine to the basal area of all trees. The model accuracy was tested in R and had a cross validation (CV) correlation of 0.782 and an adjusted r-squared of 0.8072. The methodology from this project can be scaled up to assess mountain pine beetle impacts at a regional level. Results from this study will be used to enhance forest management efforts in mitigating hazards from standing dead trees and will provide a foundation for further research into the impacts of mountain pine beetle on wildlife habitat, hydrology, and recreation.
The document discusses concepts and methodology in ecological niche modeling and species distribution modeling. It addresses issues like spatial autocorrelation, study design, and scenarios in the background area of modeling (BAM). It presents methods for calibrating models, evaluating models and comparing different modeling algorithms. Maps of distributions of disease vectors in Brazil are shown and factors influencing distributions are examined.
Listed are few questions related to the content, process, and structure for each paper explored in this presentation and the questions are meant to facilitate in-class discussions. Discussions were facilitated by Richard Maclean and Jenkins Macedo.
Niche comparisons 201606 para curso LichosTown Peterson
This document discusses different methods for comparing species niches, including comparing niches in geographic space versus environmental space. It outlines the requirements for niche comparisons, such as defining the null hypothesis and measuring observed versus expected similarities. Two main approaches are described: Warren et al.'s method of comparing niches in geographic space using background similarity tests, and Broennimann et al.'s method of comparing niches in environmental space using kernel densities and randomization tests. The document also provides examples of applications of niche comparison methods including studies on squirrels and fire ants.
This document summarizes research on the effects of calcium (Ca), nitrogen (N), and phosphorus (P) additions on tree transpiration rates. The research found that:
1) A 2014 study found that a one-time addition of calcium silicate (CaSiO3) increased transpiration over the control plots, especially for yellow birch trees. Transpiration rates also varied between tree species and sites.
2) A 2015 study found that adding phosphorus (P) alone decreased transpiration rates in white birch trees compared to other treatments.
3) Overall, the research suggests that calcium and phosphorus can impact forest transpiration rates, with calcium increasing and phosphorus decreasing transpiration
This study implemented an ensemble forecasting system using an ecological model (GEM) to predict chlorophyll-a concentration in the Wadden Sea. The ensemble was generated by perturbing model parameters and forcings using Latin hypercube sampling with dependence. The ensemble forecast was evaluated against measurements and found to outperform deterministic forecasts at measurement stations. While not incorporating all uncertainty, the ensemble forecast indicated considerable variability in peak algal bloom predictions over time and space. The results could help decision making by providing enhanced water quality predictions.
Weather Data: Virtual, In-Field, or Regional Network—Does It Matter?METER Group, Inc. USA
Which data source is better?
In the world of specialty crops, there is disagreement on how well weather-driven insect, disease, and frost prediction models actually perform. Dr. Dave Brown, former director of Washington State University’s AgWeatherNet spent years comparing different weather data sources and how those data affect the accuracy of common environmental models used by orchard growers. In this 20-minute webinar, he shares the surprising things he learned.
Decrease chances of crop damage with one simple practice
Find out how you can increase the accuracy of your predictive models and decrease frost, insect, and disease incidents by doing just one thing differently—improving the quality of your weather data. Discover:
- Microclimates: what are the conditions like inside a crop canopy versus outside?
- Virtual data vs. weather station data: Which is better?
- How do site-specific weather data vs. regional network data compare?
- How much does a small decrease in data quality affect the accuracy of your models?
- What’s the value of in-orchard measurements?
- What are some best practices for higher data quality?
Presenter
For 20 years as a faculty member at Montana State University and Washington State University (WSU) Dr. Dave Brown pursued research on soil sensors, spatial data science and digital agriculture. At both universities, he served in many leadership roles for major research projects, academic programs and most recently as Director of the WSU AgWeatherNet program. In this capacity, Dr. Brown hired and supervised a team of meteorologists who pursued research and extension activities focused on evaluating and improving the quality of weather data used for agricultural decisions.
How to nail your estimates and act at the right time
When you use inaccurate data, the further you are into the growing season, the greater the estimate will differ from reality. For longer season crops, the difference could be quite significant, which is a problem because plant maturity, flowering, and pest/disease GDD targets often have tight windows.
In this 20-minute webinar, Dr. Colin Campbell discusses what you need to know for more accurate models, so you can be confident in your management decisions.
This study examines the potential population-level impacts of climate change on Bicknell's Thrush, a vulnerable montane forest songbird. Using occupancy models, the researchers predict that a 1°C increase in mean July temperature would reduce available Bicknell's Thrush habitat by 67%, fragmenting it into fewer (29 vs. 128) and larger patches. This loss of habitat is expected to decrease the species' occupancy, colonization rates, and increase extinction rates. While some persistence may be possible in remaining high quality habitat patches under small amounts of warming, the authors conclude that over 1°C of warming could threaten the long-term persistence of Bicknell's Thrush in Vermont.
Dr. William Lahoz is a senior scientist at the Norwegian Institute for Air Research (NILU) who has over 25 years of experience in Earth observation. He currently leads data assimilation activities at NILU, supervising seven people in their work related to land, air quality, atmospheric composition, and future satellite missions. Prior to NILU, he co-founded the UK's Data Assimilation Research Centre. Dr. Lahoz has collaborated extensively with organizations in Europe and North America, organizing workshops and visiting institutions to discuss satellite missions and the use of observations for air quality monitoring. He has over 65 peer-reviewed publications and has edited several books and special journal issues related to data assimilation and Earth observation.
Curso Lichos - MOP and (separately) Niche conservatism 201606Town Peterson
MODEL TRANSFERS AND MOP
- MESS and MOP are methods for detecting extrapolative situations in species distribution models. MESS compares areas to the centroid of calibration data, while MOP compares to the nearest calibration data.
- MOP better characterizes similarities between calibration and transfer regions, making it more optimistic about in-range extrapolation.
- The document discusses evaluating niche conservatism across different timescales, from short-term invasions to differences between deeply diverged lineages, and how niche modeling approaches need to account for temporal dimensions.
- Issues with detecting niche evolution are discussed, such as distinguishing the fundamental niche from existing niche subsets and overestimating niche evolution due to incomplete characterization of nic
This document outlines ways that agriculture can adapt to climate change. It defines key terms like adaptation and risk management. It discusses making short-term and long-term changes to farm inputs, animal production, logistics, and exports. Examples are given of farms implementing changes like adding shade for livestock, adjusting grazing practices, and moving to indoor confinement facilities. The goal of adaptation is long-term profitability through understanding climate impacts and evaluating options to build resilience.
John Harlin & Dan Patton: LETS Study Climate: Sharing the Local Elevation Tra...John Harlin
John Harlin
Director, Alpine Institute at the Leysin American School in Switzerland
Dan Patton
Science teacher at Leysin American School
“LETS Study Climate: Sharing the Local Elevation Transect Survey”
After a long career in adventure journalism, Mr. Harlin returned to his roots in science and Switzerland by launching the Alpine Institute, which coordinates citizen science and outdoor education at the Leysin American School. He is the co-chair of the European Citizen Science Association (ECSA)’s working group on learning and education.
Following earning his masters in education and his bachelor’s in science from the University of Alaska, Mr. Patton has been teaching high school for a decade. At the Leysin American School he was a co-founder of the school’s main citizen science project, LETS Study Leysin, as well as the student exposition conference, Globe Day. His science classes involve considerable hands-on participation from students, including experiments with aquaponics, building robot gardeners, and designing and printing in 3D. He co-chairs the STEAM committee for ECIS, the Educational Collaborative of International Schools.
Mr. Harlin and Mr. Patton's plenary talk shared LAS’s LETS Study Leysin project (LETS = Local Elevation Transect Survey) and the school’s desire to launch a worldwide network of mountain schools doing transects of their own backyards, thus creating a global school-based project: LETS Study Climate.
Ulrich L. Kakou is seeking a career in pharmaceutical sciences and currently holds a BA in Chemistry from the University of Massachusetts, Amherst. He has research experience studying the effects of eutrophication on salt marshes and ocean chemistry. His skills include laboratory techniques, programming with Arduino, and advising teenagers in a juvenile prison on science curriculum.
2016 conservation track: strategies and tips for large scale data collection ...GIS in the Rockies
The document discusses ParkServe, an initiative by The Trust for Public Land to map parks and measure park access for urban areas in the United States. ParkServe aims to map parks and park access for all US urban areas and census places by May 2018. It will summarize park access for over 80% of Americans. The document outlines ParkServe's components: data collection, creation, loading, modeling and verification. It discusses strategies for large-scale data collection and automation, including taking an iterative approach and evolving the data model as needed. Challenges mentioned are building everything from scratch and balancing speed vs efficiency in workflow.
2016 conservation track: automated river classification using gis delineated ...GIS in the Rockies
The document describes an automated GIS tool called RESonate that is used to classify river systems into functional process zones (FPZs) based on hydrogeomorphic characteristics. The tool extracts over a dozen variables like elevation, slope, and width from geospatial datasets. It then uses these variables to generate sample points and calculate additional metrics. Statistical analysis is applied to cluster sample segments into distinct FPZ classes. The tool was tested on the Carson River where it identified 5 FPZ classes. The goal of the tool is to provide a consistent classification method that can enhance compatibility between river analyses and improve communication among scientists.
2016 conservation track: under the hood of an rea: what is within a rapid ec...GIS in the Rockies
This document discusses rapid ecoregional assessments and geospatial modeling work. It notes the input data, model tools, and model outputs used. It also references a landscape approach data portal and encourages searching for more information on that portal.
2016 asprs track: gis support for trail planning by jeff orlowskiGIS in the Rockies
Jeff Orlowski of the National Park Service is working on a GIS project to support trail planning at Petroglyph National Monument in New Mexico. The project involves digitizing over 100 miles of existing trails from aerial imagery, analyzing user data from the Strava GPS app to identify 40 additional miles of trails and popular areas, and determining the best routes for future trails through cost path analysis. The goal is to help plan the trail network at Petroglyph National Monument, which contains over 30,000 sacred petroglyphs and spans three volcanoes and 17 miles of escarpment near Albuquerque.
2016 conservation track: off the-shelf data collection solution for weed mana...GIS in the Rockies
This document discusses Adams County's implementation of the Agterra MapItFast and Strider mobile apps to replace their paper-based weed management records. The apps allow staff to easily collect data offline and share it with other government entities. After an initial installation and customization period, staff tested the apps and provided feedback. While the first year revealed areas for improvement like unnecessary fields and form redesign, enhancements in the second year addressed these issues and added new capabilities like invoicing and geotagged photos. Ongoing communication, support, and a learning curve are needed for successful ongoing use of the new digital solution.
The document discusses concepts and methodology in ecological niche modeling and species distribution modeling. It addresses issues like spatial autocorrelation, study design, and scenarios in the background area of modeling (BAM). It presents methods for calibrating models, evaluating models and comparing different modeling algorithms. Maps of distributions of disease vectors in Brazil are shown and factors influencing distributions are examined.
Listed are few questions related to the content, process, and structure for each paper explored in this presentation and the questions are meant to facilitate in-class discussions. Discussions were facilitated by Richard Maclean and Jenkins Macedo.
Niche comparisons 201606 para curso LichosTown Peterson
This document discusses different methods for comparing species niches, including comparing niches in geographic space versus environmental space. It outlines the requirements for niche comparisons, such as defining the null hypothesis and measuring observed versus expected similarities. Two main approaches are described: Warren et al.'s method of comparing niches in geographic space using background similarity tests, and Broennimann et al.'s method of comparing niches in environmental space using kernel densities and randomization tests. The document also provides examples of applications of niche comparison methods including studies on squirrels and fire ants.
This document summarizes research on the effects of calcium (Ca), nitrogen (N), and phosphorus (P) additions on tree transpiration rates. The research found that:
1) A 2014 study found that a one-time addition of calcium silicate (CaSiO3) increased transpiration over the control plots, especially for yellow birch trees. Transpiration rates also varied between tree species and sites.
2) A 2015 study found that adding phosphorus (P) alone decreased transpiration rates in white birch trees compared to other treatments.
3) Overall, the research suggests that calcium and phosphorus can impact forest transpiration rates, with calcium increasing and phosphorus decreasing transpiration
This study implemented an ensemble forecasting system using an ecological model (GEM) to predict chlorophyll-a concentration in the Wadden Sea. The ensemble was generated by perturbing model parameters and forcings using Latin hypercube sampling with dependence. The ensemble forecast was evaluated against measurements and found to outperform deterministic forecasts at measurement stations. While not incorporating all uncertainty, the ensemble forecast indicated considerable variability in peak algal bloom predictions over time and space. The results could help decision making by providing enhanced water quality predictions.
Weather Data: Virtual, In-Field, or Regional Network—Does It Matter?METER Group, Inc. USA
Which data source is better?
In the world of specialty crops, there is disagreement on how well weather-driven insect, disease, and frost prediction models actually perform. Dr. Dave Brown, former director of Washington State University’s AgWeatherNet spent years comparing different weather data sources and how those data affect the accuracy of common environmental models used by orchard growers. In this 20-minute webinar, he shares the surprising things he learned.
Decrease chances of crop damage with one simple practice
Find out how you can increase the accuracy of your predictive models and decrease frost, insect, and disease incidents by doing just one thing differently—improving the quality of your weather data. Discover:
- Microclimates: what are the conditions like inside a crop canopy versus outside?
- Virtual data vs. weather station data: Which is better?
- How do site-specific weather data vs. regional network data compare?
- How much does a small decrease in data quality affect the accuracy of your models?
- What’s the value of in-orchard measurements?
- What are some best practices for higher data quality?
Presenter
For 20 years as a faculty member at Montana State University and Washington State University (WSU) Dr. Dave Brown pursued research on soil sensors, spatial data science and digital agriculture. At both universities, he served in many leadership roles for major research projects, academic programs and most recently as Director of the WSU AgWeatherNet program. In this capacity, Dr. Brown hired and supervised a team of meteorologists who pursued research and extension activities focused on evaluating and improving the quality of weather data used for agricultural decisions.
How to nail your estimates and act at the right time
When you use inaccurate data, the further you are into the growing season, the greater the estimate will differ from reality. For longer season crops, the difference could be quite significant, which is a problem because plant maturity, flowering, and pest/disease GDD targets often have tight windows.
In this 20-minute webinar, Dr. Colin Campbell discusses what you need to know for more accurate models, so you can be confident in your management decisions.
This study examines the potential population-level impacts of climate change on Bicknell's Thrush, a vulnerable montane forest songbird. Using occupancy models, the researchers predict that a 1°C increase in mean July temperature would reduce available Bicknell's Thrush habitat by 67%, fragmenting it into fewer (29 vs. 128) and larger patches. This loss of habitat is expected to decrease the species' occupancy, colonization rates, and increase extinction rates. While some persistence may be possible in remaining high quality habitat patches under small amounts of warming, the authors conclude that over 1°C of warming could threaten the long-term persistence of Bicknell's Thrush in Vermont.
Dr. William Lahoz is a senior scientist at the Norwegian Institute for Air Research (NILU) who has over 25 years of experience in Earth observation. He currently leads data assimilation activities at NILU, supervising seven people in their work related to land, air quality, atmospheric composition, and future satellite missions. Prior to NILU, he co-founded the UK's Data Assimilation Research Centre. Dr. Lahoz has collaborated extensively with organizations in Europe and North America, organizing workshops and visiting institutions to discuss satellite missions and the use of observations for air quality monitoring. He has over 65 peer-reviewed publications and has edited several books and special journal issues related to data assimilation and Earth observation.
Curso Lichos - MOP and (separately) Niche conservatism 201606Town Peterson
MODEL TRANSFERS AND MOP
- MESS and MOP are methods for detecting extrapolative situations in species distribution models. MESS compares areas to the centroid of calibration data, while MOP compares to the nearest calibration data.
- MOP better characterizes similarities between calibration and transfer regions, making it more optimistic about in-range extrapolation.
- The document discusses evaluating niche conservatism across different timescales, from short-term invasions to differences between deeply diverged lineages, and how niche modeling approaches need to account for temporal dimensions.
- Issues with detecting niche evolution are discussed, such as distinguishing the fundamental niche from existing niche subsets and overestimating niche evolution due to incomplete characterization of nic
This document outlines ways that agriculture can adapt to climate change. It defines key terms like adaptation and risk management. It discusses making short-term and long-term changes to farm inputs, animal production, logistics, and exports. Examples are given of farms implementing changes like adding shade for livestock, adjusting grazing practices, and moving to indoor confinement facilities. The goal of adaptation is long-term profitability through understanding climate impacts and evaluating options to build resilience.
John Harlin & Dan Patton: LETS Study Climate: Sharing the Local Elevation Tra...John Harlin
John Harlin
Director, Alpine Institute at the Leysin American School in Switzerland
Dan Patton
Science teacher at Leysin American School
“LETS Study Climate: Sharing the Local Elevation Transect Survey”
After a long career in adventure journalism, Mr. Harlin returned to his roots in science and Switzerland by launching the Alpine Institute, which coordinates citizen science and outdoor education at the Leysin American School. He is the co-chair of the European Citizen Science Association (ECSA)’s working group on learning and education.
Following earning his masters in education and his bachelor’s in science from the University of Alaska, Mr. Patton has been teaching high school for a decade. At the Leysin American School he was a co-founder of the school’s main citizen science project, LETS Study Leysin, as well as the student exposition conference, Globe Day. His science classes involve considerable hands-on participation from students, including experiments with aquaponics, building robot gardeners, and designing and printing in 3D. He co-chairs the STEAM committee for ECIS, the Educational Collaborative of International Schools.
Mr. Harlin and Mr. Patton's plenary talk shared LAS’s LETS Study Leysin project (LETS = Local Elevation Transect Survey) and the school’s desire to launch a worldwide network of mountain schools doing transects of their own backyards, thus creating a global school-based project: LETS Study Climate.
Ulrich L. Kakou is seeking a career in pharmaceutical sciences and currently holds a BA in Chemistry from the University of Massachusetts, Amherst. He has research experience studying the effects of eutrophication on salt marshes and ocean chemistry. His skills include laboratory techniques, programming with Arduino, and advising teenagers in a juvenile prison on science curriculum.
2016 conservation track: strategies and tips for large scale data collection ...GIS in the Rockies
The document discusses ParkServe, an initiative by The Trust for Public Land to map parks and measure park access for urban areas in the United States. ParkServe aims to map parks and park access for all US urban areas and census places by May 2018. It will summarize park access for over 80% of Americans. The document outlines ParkServe's components: data collection, creation, loading, modeling and verification. It discusses strategies for large-scale data collection and automation, including taking an iterative approach and evolving the data model as needed. Challenges mentioned are building everything from scratch and balancing speed vs efficiency in workflow.
2016 conservation track: automated river classification using gis delineated ...GIS in the Rockies
The document describes an automated GIS tool called RESonate that is used to classify river systems into functional process zones (FPZs) based on hydrogeomorphic characteristics. The tool extracts over a dozen variables like elevation, slope, and width from geospatial datasets. It then uses these variables to generate sample points and calculate additional metrics. Statistical analysis is applied to cluster sample segments into distinct FPZ classes. The tool was tested on the Carson River where it identified 5 FPZ classes. The goal of the tool is to provide a consistent classification method that can enhance compatibility between river analyses and improve communication among scientists.
2016 conservation track: under the hood of an rea: what is within a rapid ec...GIS in the Rockies
This document discusses rapid ecoregional assessments and geospatial modeling work. It notes the input data, model tools, and model outputs used. It also references a landscape approach data portal and encourages searching for more information on that portal.
2016 asprs track: gis support for trail planning by jeff orlowskiGIS in the Rockies
Jeff Orlowski of the National Park Service is working on a GIS project to support trail planning at Petroglyph National Monument in New Mexico. The project involves digitizing over 100 miles of existing trails from aerial imagery, analyzing user data from the Strava GPS app to identify 40 additional miles of trails and popular areas, and determining the best routes for future trails through cost path analysis. The goal is to help plan the trail network at Petroglyph National Monument, which contains over 30,000 sacred petroglyphs and spans three volcanoes and 17 miles of escarpment near Albuquerque.
2016 conservation track: off the-shelf data collection solution for weed mana...GIS in the Rockies
This document discusses Adams County's implementation of the Agterra MapItFast and Strider mobile apps to replace their paper-based weed management records. The apps allow staff to easily collect data offline and share it with other government entities. After an initial installation and customization period, staff tested the apps and provided feedback. While the first year revealed areas for improvement like unnecessary fields and form redesign, enhancements in the second year addressed these issues and added new capabilities like invoicing and geotagged photos. Ongoing communication, support, and a learning curve are needed for successful ongoing use of the new digital solution.
2016 conservation track: geolocation by light: following the migration of le...GIS in the Rockies
Denver Zoo conservation biologists studied the migratory patterns of lesser kestrels in Mongolia using light-based geolocators, which determine location based on timing of sunrise and sunset. The geolocators recorded light levels every minute and location fixes were determined through post-processing. This provided a low-cost alternative to satellite trackers, with average errors of around 185 km, allowing researchers to understand the contradictory literature on the lesser kestrel's migration routes at a fraction of the cost of satellite tracking.
2016 conservation track: fish habitat modeling using arc gis server: a mappl...GIS in the Rockies
The document describes the development of a web-based mapping application to improve fish habitat restoration efforts. Key points include:
- Large amounts of fish habitat data from multiple sources needed to be accessible in one tool.
- An initial desktop application was developed but not widely used due to accessibility issues.
- A custom web application was developed using ArcGIS Server and JavaScript API to allow visualization, ranking, and modeling of fish habitat data and restoration priorities.
- The application includes tools for creating thematic maps, performing weighted analyses to identify restoration areas, and modeling impacts of landscape changes on fish species.
2016 conservation track: identifying key wetlands areas in the rio grande na...GIS in the Rockies
The document summarizes a project to identify and protect high quality wetlands in the Rio Grande National Forest in Colorado. Researchers used GIS modeling, expert input, and site visits to analyze wetland areas based on abiotic and biotic variables. They scored wetlands within 12-digit hydrologic units to identify the most important ones for conservation. The goal is to establish an approach that can be used to assess wetlands in other areas as well.
2016 conservation track: ecological and social resilience to climate variabil...GIS in the Rockies
ecological and social resilience to climate variability the case of the bourgou floodplain vegetation (echinochloa stagnina) of the inland niger delta in central mali
2016 conservation track: applications of rapid ecoregional assessments (re as...GIS in the Rockies
The document discusses applications of Rapid Ecoregional Assessments (REAs) conducted by the Bureau of Land Management. REAs provide standardized geospatial data across broad ecoregional extents to inform coordinated management strategies. The document examines using REA and local data to analyze the impacts of proposed non-motorized trails on mule deer habitat in Northern California. Broad-scale REA data shows the trails would have a small effect on mule deer metrics. However, local data analysis finds the trails could create a pinch point limiting connectivity, requiring on-the-ground knowledge to determine the importance.
2016 asprs track: overview and user perspective of usgs 3 dep lidar by john ...GIS in the Rockies
This document provides an overview of 3D Elevation Program (3DEP) lidar data. It defines key lidar terminology and describes the various products that can be derived from lidar point clouds, including digital surface models (DSMs), digital terrain models (DTMs), intensity images, and canopy height models. It explains the quality levels and availability of 3DEP lidar data across the United States. The document also briefly discusses the latest lidar technologies, such as multispectral, single-photon, and Geiger-mode lidar.
2016 asprs track: faa and uavs: what you need to know by caitlin reuschGIS in the Rockies
This document discusses the requirements and process for obtaining an FAA remote pilot certificate to operate unmanned aircraft systems (UAS) or drones. It outlines two routes to certification - one for those with prior pilot experience which requires submitting an application and providing identity and medical documents, and one for those without which requires additionally passing an aeronautical knowledge test. It also describes the aeronautical knowledge test content, FAA regulations and definitions, resources for studying like the Aeronautical Information Manual and Advisory Circulars, and best practices for safe UAS operation.
2016 conservation track: a climate change vulnerability framework and intera...GIS in the Rockies
Research Planning, Inc. developed a climate change vulnerability framework and interactive visualization tool to assess vulnerability of habitats, resources, and infrastructure in Corales del Rosario y San Bernardo National Natural Park in Colombia. The framework scores sensitivity, exposure, and adaptive capacity to climate factors like sea level rise to calculate vulnerability. An interactive GIS tool allows viewing vulnerability scores and inundation levels over time under different scenarios. The tool aims to inform park management and adaptation planning.
2016 asprs track: spatial analysis at the continental scale: a practical app...GIS in the Rockies
The document discusses spatial analysis techniques for large-scale datasets. It describes analyzing satellite imagery across entire continents using cloud-based platforms that allow processing without downloading imagery. Specific analysis examples include land use classification, building detection, and material identification. Challenges in building height estimation from satellite data are also reviewed. The document argues this type of large-scale automated analysis opens opportunities for low-cost monitoring of global patterns and changes over time.
2016 asprs track: considering a uav: now what? by jeff youngGIS in the Rockies
This document discusses unmanned aerial systems (UAS) and their value. It provides an agenda for a presentation on UAS that includes discussions of standards and certifications, how UAS can be used to observe different geographies, the value proposition of UAS, sectors that UAS can serve such as government, infrastructure, and energy, and challenges around managing image assets from UAS. The presentation aims to convey that UAS provide emancipating opportunities to understand place from new perspectives.
2016 gisco track: creating a quick map configured to us topo specifications: ...GIS in the Rockies
The document describes the Topo TNM Style Template, which provides an efficient way to create maps that follow US Topo specifications. The template includes an ArcMap file with layout, symbology and labeling rules configured for US Topo. It also includes a file geodatabase with related datasets and a details table for map configuration. Using the template and vector data downloaded from The National Map allows users to quickly generate accurate US Topo maps without having to manually configure each element.
2016 education track: addressing challenges to effective learning in the gis ...GIS in the Rockies
This document discusses challenges that may arise in an environmental science classroom with a diverse group of students and proposes methods for overcoming them. It notes the diversity in students' interests, academic backgrounds, familiarity with computers, and learning styles. It also mentions differences in students' GIS skill levels, lifestyles, locations, and demographics compared to four-year universities. The document provides an outline for a typical class session and steps for an effective lesson to help address these challenges through engagement, variety in teaching methods, and application exercises.
2016 education track: addressing challenges to effective learning in the gis ...
Similar to 2016 conservation track: broad scale assessment, planning and management of public lands: blm’s landscape approach and rapid ecoregional assessments by kevin miller
This document discusses methods for ecological niche modeling (ENM). It covers the major steps in the ENM process:
1) Accumulating occurrence and environmental data
2) Integrating the data and assessing scenarios of how available habitat relates to a species' distribution
3) Calibrating models using various algorithms and evaluating model performance
The document emphasizes best practices such as considering biases in occurrence data, reducing dimensionality, assessing spatial autocorrelation, and using multiple model algorithms and evaluation metrics to identify the best model for a given situation. Thresholding is discussed as a key step to convert model outputs to predicted distributions.
Finding Meaning in Points, Areas and Surfaces: Spatial Analysis in RRevolution Analytics
Everything happens somewhere and spatial analysis attempts to use location as an explanatory variable. Such analysis is made complex by the very many ways we habitually record spatial location, the complexity of spatial data structures, and the wide variety of possible domain-driven questions we might ask. One option is to develop and use software for specific types of spatial data, another is to use a purpose-built geographical information system (GIS), but determined work by R enthusiasts has resulted in a multiplicity of packages in the R environment that can also be used.
This document discusses spatial analysis and types of uncertainty in geographic data. It covers common spatial analysis techniques like overlays, buffering, and map algebra. It also addresses uncertainty in the conception, measurement, and representation of geographic phenomena stemming from issues like vagueness, measurement error, data structures, and the modifiable areal unit problem. Examples demonstrate interpolation of soil samples and coffee shop location analysis using spatial techniques in GIS.
Autocorrelation_kriging_techniques for Hydrologysmartwateriitrk
This document provides an introduction to spatial autocorrelation and kriging. It discusses Tobler's first law of geography, which states that nearby locations tend to be more related than distant locations. Spatial autocorrelation refers to the correlation of a variable with itself over space as a function of distance. The document outlines common tests for spatial autocorrelation like Moran's I and variograms. It explains how kriging uses a variogram model and nearest neighbor distances to interpolate values at unsampled locations. Kriging aims to provide the best linear unbiased predictions and estimates of uncertainty. The history of variograms, kriging, and their development by mathematicians like Matheron and geologist Krige are
This remote sensing e-course focuses on geomorphology and hydrology analysis using remotely sensed data like SRTM. Students will learn how to analyze and exploit SRTM information for geo-hydrology mapping using open source software. The course will cover topics like DEM, DTM, DSM, drainage pattern analysis, stream ordering, and basic cartography. Exercises will allow students to apply their understanding. The intended audience is university students with basic remote sensing knowledge. Requirements include internet access and downloading GRASS and QGIS software. Lessons will demonstrate landscape analysis, watershed and stream generation, and associating drainage patterns with physical environment and geology.
This paper presents a statistical model for predicting the locations of prehistoric mounds in Iowa based on environmental factors. The model uses 335 known mound locations and 640 random non-mound locations to analyze elevation, slope, relief, and distance to water. Histograms and statistical tests show the mound locations differ significantly from non-mound locations on these factors. A logistic regression model found all four environmental variables help explain differences between mound and non-mound areas. When tested on 818 independent mound sites, 72% were in the 10% of Iowa's area deemed most likely to contain mounds by the model, significantly better than chance.
Genetic algorithms are optimization techniques inspired by biological evolution that can efficiently search large spaces to find optimal solutions; they work by evolving a population of potential solutions through mechanisms like selection, crossover and mutation. Genetic algorithms have been successfully applied to problems in many domains and are now widely used in business, science and engineering for applications like scheduling, design, control, and machine learning.
[UMAP2013] Recommendation with Differential Context WeightingYONG ZHENG
Context-aware recommender systems (CARS) adapt their recommendations to users’ specific situations. In many recommender systems, particularly those based on collaborative filtering, the contextual constraints may lead to sparsity: fewer matches between the current user context and previous situations. Our earlier work proposed an approach called differential context relaxation (DCR), in which different subsets of contextual features were applied in different components of a recommendation algorithm. In this paper, we expand on our previous work on DCR, proposing a more general approach — differential context weighting (DCW), in which contextual features are weighted. We compare DCR and DCW on two real-world datasets, and DCW demonstrates improved accuracy over DCR with comparable coverage. We also show that particle swarm optimization (PSO) can be used to efficiently determine the weights for DCW.
Remote Sensing and Individual-Based Ecologyhughstimson
An effort to assess the relationship and potential synergies of individual-based ecology and remote sensing, and to identify some of the specific challenges of gathering remote-sensing data to develop individual-based ecological theories.
An accompanying paper is at http://hughstimson.org/projects/rsibe
The document discusses the geoprospective approach, which aims to anticipate the plausible futures of territories using spatial modeling and simulations. Geoprospective was created by researchers in spatial and environmental modeling. It differs from traditional prospective approaches by more strongly emphasizing the role of space and spatial dynamics in modeling changes. Key methodologies used in geoprospective include spatially explicit modeling, graphic modeling, and participatory modeling to understand actor perceptions and behaviors. The challenges of geoprospective include better integrating the roles of space and actors, accounting for multi-scale factors of land cover evolution, and linking quantitative and qualitative data in spatial models.
Ecophysiological Impacts of Climate Change: Performance, Fitness and ExtinctionInsideScientific
Join Caroline Williams, PhD and Eric Riddell, PhD as they discuss their research involving climate change and the ecophysiological effects of changing global temperatures on organismal biology and survival.
Key Topics Include:
Energy use models using microclimate data can accurately predict whole winter energy use.
Colder soils in a warmer world: Snow modulates a trade-off between cold exposure and energy use for soil dwelling organisms.
How processes at the genetic level can influence ecological processes, such as geographic ranges.
Complex methods to make realistic predictions on the ecological impact of climate change.
The document discusses the past, present, and future of seismic analysis techniques including seismic stratigraphy and geomorphology. It notes that integrating seismic stratigraphy and geomorphology provides the most robust geological interpretations. It describes how 3D seismic data and advances in computing/visualization have improved analysis. The document predicts that machine learning techniques will increasingly integrate seismic data types and attributes to better identify hydrocarbon traps. Handling "big data" from multiple sources is a challenge, but integrating rock physics can improve seismic reservoir description.
The document presents a study that jointly models the duration and size of forest fires in British Columbia using random effects to link the two outcomes. Specifically, it uses joint models and random effects to investigate the effects of environmental variables on the duration and size of large, long-lasting lightning-caused fires. The study finds that a shared frailty component is significant, suggesting the two outcomes are related and can be modeled together.
This document discusses methods for analyzing variability and performing 3D classification of cryo-EM density maps. It describes tools for assessing local resolution variation (e2fsc.py, ResMap), refining multiple models simultaneously (e2refinemulti.py), and separating maps into classes based on compositional or conformational differences using techniques like multi-reference refinement, masking, subtracting fixed regions, and statistically analyzing binary separability between classes. The goal is to characterize heterogeneity and isolate individual structures from mixed populations of particles.
This document summarizes research on discovering spatial co-location patterns from geospatial data. It discusses how spatial data mining differs from classical data mining by considering attribute relationships between neighboring spatial objects. The paper focuses on extracting frequent co-occurrence rules between boolean spatial features from ecological datasets. It presents three approaches for modeling co-location rules problems - reference feature centric, window centric, and event centric. The Co-location Miner algorithm is introduced for mining co-location rules that satisfy minimum prevalence and conditional probability thresholds from the data.
This document discusses an alternative futures approach to modeling socio-ecological systems using software like Envision. It provides an overview of alternative futures modeling and Envision, which allows users to evaluate scenarios by modeling landscape changes, ecosystem services, and decisions made by different actors over time. Examples are given of Envision models of the Andrews Forest in Oregon and Puget Sound in Washington that examined scenarios involving population growth, development, and their impacts on carbon storage, fish habitat, water quality and other services over 25-60 years. The document emphasizes stakeholder engagement is critical and that alternative futures assessments are place-based and dependent on the specific application.
Estimating soil organic carbon changes: is it feasible?ExternalEvents
This presentation was presented during the Plenary 1, GSOC17 – Setting the scientific scene for GSOC17 of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Eleanor Milne from Colorado State University - USA, in FAO Hq, Rome
The document discusses geosteering, which involves steering wells to desired targets. It describes the key roles in geosteering including the operations geologist and wellsite geologist. It also discusses analyzing geosteering tool behavior and measuring geosteering quality to improve performance. Specifically, it proposes measuring quality by analyzing whether targets were met and optimal well placement was achieved based on recorded geosteering data.
Multi-Domain Diversity Preservation to Mitigate Particle Stagnation and Enab...Weiyang Tong
This paper makes important advancements to a Particle Swarm Optimization (PSO) algorithm that seeks to address the major complex attributes of engineering optimization problems, namely multiple objectives, high nonlinearity, high dimensionality, constraints, and mixed-discrete variables. To introduce these capabilities while keeping PSO competitive with other powerful multi-objective algorithms (e.g., NSGA-II, SPEA, and PAES), it is important to not only preserve population diversity (for mitigating stagnation), but also explicit diversity preservation to facilitate improved converge of (non-convex) Pareto frontiers. A new multi-domain preservation technique is presented in this paper for this purpose. In this technique, an adoptive repulsion is applied to each global leader to slow down the clustering of particles overly popular global leaders, and maintain a desirably even distribution of Pareto optimal solutions. In addition, the global leader selection is now modified to follow a stochastic solution based on a half Gaussian distribution. Specifically, two different population diversity measures are explored: (i) based on the smallest hypercube enclosing the entire population, and (ii) based on the smallest hypercube enclosing the subset of particles following each of the global leaders. Both strategies are investigated using a suite of benchmark problems. The performance of the new PSO algorithm is compared with other algorithms in terms of convergence measure, uniformity measure, and computation time.
Similar to 2016 conservation track: broad scale assessment, planning and management of public lands: blm’s landscape approach and rapid ecoregional assessments by kevin miller (20)
GISCO Fall 2018: Bike Network Equity: A GIS and Qualitative Analysis of Ameri...GIS in the Rockies
The equitable distribution of bike paths ensuring safe cycling are inconsistently planned and evaluated. For residents to fully utilize bikes, it is essential that bike networks equitably serve all urban populations. In the absence of impartial evaluation, the construction of biking infrastructure may continue to perpetuate cycles of disadvantage. By measuring the spatial equity of six urban biking networks using GIS (San Francisco, Chicago, Minneapolis, Madison, Boulder and College Station) and interviewing transportation planners, we demonstrate that equity can play a role in planning. We provide spatial and qualitative analyses revealing varying relationships between urban transport planning and the relative equity of bike networks in major cities.
GISCO Fall 2018: Colorado 811: Changes and Challenges – Brian CollisonGIS in the Rockies
On May 25, Governor Hickenlooper signed Senate Bill 18-167 into law. This bill included the creation of the Underground Damage Prevention Safety Commission, effective August 8, 2018. The ratification of this law has started transitioning tier two members of the Utility Notification Center of Colorado, or Colorado 811, into tier one members. Safety and accuracy are some of the most challenging issues damage prevention professionals face. While the law will improve communication between all parties involved once it’s implemented, damage prevention work will drastically change over the next two years of transition. Join Brian Collison as he gives an overview of the changes, how tier two members can ease their transition to tier one and how this will affect anyone who works within right of ways in the state of Colorado.
GISCO Fall 2018: Senate Bill 18-167 and GIS – Dave MurrayGIS in the Rockies
The recently passed Senate Bill 18-167 has many new provisions that could impact the GIS community and location of in-ground infrastructure. Find out about how this bill might impact your organization.
2018 GIS in the Rockies Workshop: Coordinate Systems and Projections GIS in the Rockies
This document provides an overview of coordinate systems and map projections. It discusses different types of coordinate systems including geocentric, geodetic, and projected systems. It explains key concepts like ellipsoids, datums, and distortions caused by map projections. Specific projections covered include the Lambert Conformal Conic projection used in state plane coordinate systems. The document is intended to teach the fundamentals of how locations on Earth are defined and represented through different coordinate systems and projections.
2018 GIS in Emergency Management: Denver Office of Emergency Management OverviewGIS in the Rockies
The document provides an overview of emergency management in Denver, Colorado. It details that Denver has a population of over 700,000 residents and hosts over 32 million visitors annually. It operates a 72-position Emergency Operations Center and utilizes geospatial technologies like GIS mapping to aid in situational awareness and emergency response. The document emphasizes preparing residents by encouraging them to be informed of risks, make an emergency plan, and build an emergency supply kit.
2018 GIS in the Rockies Vendor Showcase (Th): The Data Driven GovernmentGIS in the Rockies
Today, GIS is not just software. It’s data. It’s people. It’s getting to the answer. Quicker. Data is expanding. More users demand access to information but don’t consume the information in the same way as a GIS professional would. But as curators and managers of geospatial information, GIS professionals are looking to support the entire organizational needs not just those in GIS Departments. The chief information officer is acutely aware of how much geospatial data is being collected; now, how do city and state governments leverage these data for smarter, more effective government services. Here are five pillars of the data-driven government to consider:
1. Extensibility: Whatever the choice, the platform must be customizable for users beyond the GIS department. Knowledge workers need access to geospatial technology too.
2. Usability: GIS is a complex tool. However, today’s desktop platform must be adaptable to many types of workflows.
3. Flexibility: The next generation of geospatial solutions must be ready to support the desktop, cloud, SaaS as well as mobile platforms. GIS must adapt to the user’s preferred IT environment…not the other way around.
4. Compatibility: GIS must work in mixed environments of open source and commercial software and ingest data from myriad sources.
5. Expandability: Can your GIS environment work in the world of big data? Smart cities depend on ingesting sensor data produced at high rates that require geoprocessing on a scale not thought possible until recently.
2018 GIS in the Rockies Vendor Showcase (Th): Solving Real World Issues With ...GIS in the Rockies
With the proliferation of location-aware mobile devices and the emergence of everyday analytics, geospatial technology now spans every market, crosses national boundaries, and affects every trending issue. There is no doubt that cloud-based solutions are increasing in demand, requiring next generation, customizable technology to harness multisource data and transform it into focused solutions to be consumed by users of every level. The M.App Portfolio platform is designed to create smart, lightweight, customized market applications that address unique business and industry problems by combining geospatial analytics with cloud technology, as well as enterprise-level deployment environments. These applications, known as Hexagon Smart M.Apps, link sophisticated analytics and spatial models to geospatially relevant information, conveying data about solutions through intuitive, customizable, interactive and innovative displays. In this presentation, you will see several Smart M.Apps in action to better understand how this platform is changing the way we visualize, interpret, and interact with spatial information. Learn how Hexagon Geospatial has teamed with the World Antiquities Coalition to use Smart M.App technology to track missing and stolen cultural artifacts. See how the Green Space Analyzer provides a new way for decision makers to influence policy. Understand how a Smart M.App helps count endangered species in Africa. See how Smart M.Apps address the problems of refugee camps and can be used in country-wide census. Hexagon Geospatial’s technology provides the ability to address the challenge of linking business information with multisource multi-sensor data, in near real-time to answer questions and make decisions about our dynamically changing Earth.
2018 GIS in the Rockies Vendor Showcase (Th): ERDAS Imagine What's New and Ti...GIS in the Rockies
This presentation will cover the latest release highlights as well as tips and tricks for processing LiDAR data, ERDAS Imagine modeling capabilities and a roadmap for cloud based processing.
The session will highlight exploiting the full spectrum of LiDAR from viewing and measurements to surface and terrain modeling as well as extraction of point clouds from imagery.
In addition we will discuss the migration of our image exploitation capabilities from the desktop to the cloud.
2018 GIS in the Rockies Vendor Showcase (Th): Building High Performance Gover...GIS in the Rockies
With thousands of citizens relying on your city's GIS and related technology, a lot is resting on your shoulders. Your team works day and night to map and maintain millions of dollars in infrastructure assets, plan for the future, and keep your residents safe and informed. But, how do you keep up when budget cuts, disasters, and staff changes are thrown into the mix?
During this session, you’ll learn how to build effective, innovative GIS teams and implement efficient processes. In addition, you’ll uncover the 5 reasons why local government agencies are working to become high performing, plus expert tips to help you get started on your journey today.
As a part of a joint effort between the Town of Silverthorne and the Summit Sky Ranch development, Allpoints GIS and Contour Logic were contracted to provide trail planning services on private and National Forest lands. Several variables presented challenges that required detailed planning work. Lidar data analysis, 3D web scenes, survey data, high resolution web maps, and ArcGIS Collector in the field were all employed in a joint desktop and field GIS effort to create trail plans. I will detail our GIS methods and products from this project from start to finish.
2018 GIS in Recreation: The Latest Trail Technology Crowdsourcing Maps and AppsGIS in the Rockies
Americans are increasingly recognizing the health, quality of life, environmental, and economic benefits that trails and active transportation offer. As a result, now more than ever it’s important to connect people to our trails, improve the planning of new trails, and better understand how visitors use trails.
For this session, we’ll explore what role technology plays in how people engage with trails. How can land managers utilize technology to publish better information to their visitors and also understand who’s engaging with their recreational infrastructure? Learn how to reach and understand new audiences, using everything from apps that get people outdoors to crowdsourced data.
2018 GIS in the Rockies: Riparian Shrub Assessment of the Mancos River Canyon...GIS in the Rockies
The Mancos River is the only perennial stream of Mesa Verde National Park and is a vital water source for flora and fauna. Mapping of the riparian shrubs is an important component to understanding the ecological state of the riparian zone, and will ultimately be used to inform future land management and restoration decisions.
2018 GIS in Development: Partnerships Lead to Additional Recreational Content...GIS in the Rockies
In 2010, the USGS National Geospatial Program (NGP) began producing the new US Topo map series. The first maps were relatively simple, but quality and content have continually improved. Recreational features, especially trails, are among the most often requested features, but have been difficult to add due to lack of national datasets. Some trails in National Forests were added in 2014. In 2015 the USGS partnered with the International Mountain Biking Association (REI-Adventure Projects) to include trails outside of Federal lands. A pilot project with the National Park Service in 2016 added trails, visitor centers, trailheads, and campgrounds to US Topo maps covering the Great Smoky Mountains National Park. 2018 US Topo maps include trails, trailheads, campgrounds, picnic areas, visitor centers, and other recreation information on selected Federal lands, using data provided by the relevant agencies. Continuing into the future, the USGS is working on partnerships with states and other organizations including The National Map Corps to expand recreational features to non-Federal lands. All such data will be in the public domain and published in The National Map geospatial databases.
2018 GIS in Recreation: Adding Value to Colorado the Beautiful Initiative carrGIS in the Rockies
The main point of this abstract is increasing the value of the current Colorado the Beautiful Initiative through additional data points gathered by mapping the trail systems with the use of unmanned aerial systems and 3rd party software to build the additional data points to be included in the current mapped environment.
I have used Unmanned Aerial Systems and 3rd Party Mapping Software Companies (DroneDeploy, Precision Hawk, Pix4D, and DroneMapper) to build sample data to support my work
I have been able to create sample maps, photos, video of certain trail sections to show how additional data sets can be included to increase the value of the initiative for both the public and government sectors
With the data I have collected, I can discuss several points of interest with the conference. I can show how the data can be utilized to benefit the public sector: Safety, knowledge, and planning and the government sector: trail maintenance, anticipating future problems- heavy traffic areas or lost hikers, plant health - fire danger and erosion, and intersection of multiple agency and private land area issues.
The City of Manitou Springs is planning a creek walk along Fountain Creek, an aspirational goal for over two decades. The question is: how to unite a diverse set of stakeholders with competing interests to agree on a preferred route, that incorporates their values and priorities? The answer was to use geodesign.
Geodesign is a powerful participatory planning method that uses stakeholder input and geospatial analytics to show the possible impact of design scenarios. It gets its strength in two ways: 1) from the diversity of participants—proving the adage that two heads are indeed better than one—and 2) from the power of spatial analytics, which allow the visualization of the world both as it is, and as it could be.
The presentation will focus on how geodesign methods where used to define stakeholder groups, clarify values, and prioritize criteria to help decision makers evaluate planning scenarios. Esri ArcGIS Pro was utilized to develop models—such as bikeability, walkability, ADA compliance, and more—that were used to both visualize and evaluate the impacts of each route segment. The spatial analysis resulted in an innovative solution that addressed both the concerns of both government and public stakeholders.
Attendees of this session will learn how to use geodesign as a systems approach for informed decision-making. More importantly, they will learn how to use spatial technology to guide conversations among diverse stakeholders to come up with plans that people understand and are happy with.
2018 GIS in Recreation: Virtually Touring the National TrailsGIS in the Rockies
Terrain360 has been commissioned to create a 360° “streetview” map of the Captain John Smith National Scenic Trail, Huron River Water Trail, Lake Huron, Lake St. Clair, Detroit River and other important waterways in 2018.We will be discussing the technical and mechanical challenges of capturing/managing massive amounts of GIS data and imagery from these projects. We will also discuss dissemination of the data on a forward facing exploration tool.
2018 GIS in the Rockies PLSC Track: Turning Towards the FutureGIS in the Rockies
The document discusses how the USGS's geospatial datasets and services will be affected by the modernization of the National Spatial Reference System (NSRS). It notes that elevation datasets associated with 3DEP will be most impacted. Preparations include requiring machine-readable coordinate systems and messaging support for GPS on benchmarks. There is excitement about improved geoid and datum models aligning better with global systems. However, there is also concern about the challenges of transforming vast existing NAD83 datasets, such as 11 trillion lidar points. Key needs are the NADCON8 transformation tool and its incorporation into various software.
The Public Land Survey System (PLSS), which is the basis of land surveying in the western United States will be presented and will include how the system was developed, why it is important to the public, surveying and GIS communities and the appropriate use of the system in order to describe parcels of land. The attendees will lean the basics of the system from the founding fathers to requirements of the State of Colorado regarding the PLSS.
2018 GIS in the Rockies PLSC Track: Grid to Ground NATRF2022GIS in the Rockies
Here at altitude, if distances between points matter to you, correctly scaling your coordinates to ground is necessary. This presentation will address the modification of common map projections, how to compute and apply a combined adjusted scale factor, and an introduction to the North American Terrestrial Reference Frame of 2022, replacing NAD83 and NAVD88. Are you ready?
2018 GIS in Development: USGS and Citizen Science Success and Enhancements fo...GIS in the Rockies
TNMCorps is a crowdsourcing program that allows volunteers to help update structures data for The National Map by verifying, updating, adding, or deleting points through an online editing application. Volunteers can edit structure points across the US, with a focus on ensuring data quality through reference materials, tiered editing levels, automated and manual quality checks. Recent improvements include updated reference guides, new engagement methods like challenge maps, and a pilot study to collect courthouse data from scratch.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
National Security Agency - NSA mobile device best practices
2016 conservation track: broad scale assessment, planning and management of public lands: blm’s landscape approach and rapid ecoregional assessments by kevin miller
12. RapidEcoregionalAssessment
Resource Methods Pros & Cons
Geoportal • Find data
• Download & Open data in ArcMap
• Find a map service
• Download & Open in ArcMap
• Entry level GIS skills
• Public
• Download 1-by-1
• Geoprocessing
Context! Start with the big picture and drill down to more efficiently know where to put effort (priority places) for projects to better a ecological system or at least minimize harm to an ecological system.
Rapid – no research – data or models
Ecoregions - identify through the analysis of the patterns and the composition of biotic and abiotic characteristics that affect or reflect differences in ecosystems – geology, veg, geomorphology, climate, soils, land use, wildlife, hydrology.
In NGB Snake R. Plain, Northern Basin and Range
Assessment of future conditions – what risks, what might affect change in processes and ecosystems
Ecol Functions – ecosystems services – support surrounding environment, e.g floodplain – flood control, sediment deposition, riparian veg; use of veg type to characterize habitat distributions; Pygmy Rabbit Priority Habitat characterized by soil characteristics (depth and percent clay), sagebrush, elevation, and fire frequency
Potential to change – based on future impacts – climate change, development
Resilience (stability and tolerance) : meaning how an ecosystem can resist damage and quickly recover from disturbances (fire, flooding, fracking, deforestation). Can use info to drive mgmt. practices – alter human behavior or development to result in less adverse impacts.
Ecol Functions – ecosystems services – support surrounding environment, e.g floodplain – flood control, sediment deposition, riparian veg; use of veg type to characterize habitat distributions; Pygmy Rabbit Priority Habitat characterized by soil characteristics (depth and percent clay), sagebrush, elevation, and fire frequency
Potential to change – based on future impacts – climate change, development
Resilience (stability and tolerance) : meaning how an ecosystem can resist damage and quickly recover from disturbances (fire, flooding, fracking, deforestation). Can use info to drive mgmt. practices – alter human behavior or development to result in less adverse impacts.
Ecological status is determined in part by the impacts of various change agents on the CEs
By and large this presentation won’t get much into our methods. There are hundreds of pages of appendices and metadata files that explain what we did to arrive at the final datasets and conclusions if you want to more. For much of the status assessments the basic steps involved building conceptual models that explain our assumptions about the nature of the relationship between conservation elements and change agents. These relationships plus the spatial data that we acquired and developed, led to the creation of process models that documented the ‘mechanics’ of the analytical process. Process models were then expressed as working spatial models that used the input data to create the analytical results as both maps and tables. We relied heavily on ArcGIS models and python scripts to do much of the spatial data but we also used specific tools like Maxent and Circuitscape.
Ecol Functions – ecosystems services – support surrounding environment, e.g floodplain – flood control, sediment deposition, riparian veg; use of veg type to characterize habitat distributions; Pygmy Rabbit Priority Habitat characterized by soil characteristics (depth and percent clay), sagebrush, elevation, and fire frequency
Potential to change – based on future impacts – climate change, development
Resilience (stability and tolerance) : meaning how an ecosystem can resist damage and quickly recover from disturbances (fire, flooding, fracking, deforestation). Can use info to drive mgmt. practices – alter human behavior or development to result in less adverse impacts.