Your Knowledge, Our Community, the Ocean's Resilience
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This document discusses knowledge of the oceans, ocean communities, and the ocean's resilience. It provides quotes about the importance of understanding the oceans to care for them, and how the 20th century involved undersampling of the oceans. It promotes ocean community groups on Esri and other platforms. It discusses concepts of resilience in dealing with changes and threats by being able to absorb disturbances and recover quickly. It promotes transitioning to ecological mapping units to represent the oceans.
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The document discusses the debate around keeping dolphins and whales in captivity. It notes negatives of captivity including removing the animals from their natural environment and social groups. This can cause depression in some animals, as seen with drooping dorsal fins and violent outbreaks. However, proponents argue that aquariums provide public education and entertainment, and help conservation through research and breeding programs. But critics say the animals' lives are not natural or fulfilling in small tanks, and their treatment can be considered exploitation rather than education.
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The document discusses the debate around keeping dolphins and whales in captivity. It notes negatives of captivity including removing the animals from their natural environment and social groups. This can cause depression in some animals, as seen with drooping dorsal fins and violent outbreaks. However, proponents argue that aquariums provide public education and entertainment, and help conservation through research and breeding programs. But critics say the animals' lives are not natural or fulfilling in small tanks, and their treatment can be considered exploitation rather than education.
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The document describes the GLOBAL WARRIOR expedition project, which aims to train ordinary people to conduct scientific research and exploration in the Arctic and oceans. The expedition will involve 28 people journeying 800 miles to the Northern Pole of Inaccessibility, the furthest point from land in the Arctic Ocean, to collect climate data. A separate expedition, Resolute, will involve 144 people sailing 10,000 nautical miles to measure ocean changes over 10 years. Both expeditions will partner with scientists and help increase understanding of climate impacts in these vulnerable regions.
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This document advertises three Arctic expedition cruises to the North Pole and surrounding regions. The summaries include exploring the Arctic by helicopter, hot air balloon, and Zodiac boats. Guests will experience lectures, meals, and relax on the icebreaker ship with amenities. They can also join discussions with polar scientists and Indigenous leaders. The document promotes celebrating reaching 90 degrees north and gaining insight into the fragile Arctic ecosystem.
Nostalgia Speech
Here is a proposed 5 week day trip itinerary to Niagara Falls:
Day 1:
- Fly from New York City to Buffalo, NY
- Check into hotel in Buffalo
- Dinner at a local restaurant
Day 2:
- Drive from Buffalo to Niagara Falls (1 hour drive)
- Spend the morning at the American Falls and Bridal Veil Falls
- Take the Maid of the Mist boat tour
- Lunch in Niagara Falls
- Tour Old Fort Niagara in the afternoon
- Return to Buffalo hotel
Day 3:
- Drive from Buffalo to Letchworth State Park (2.5 hours)
- Hike trails
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The document is the July 2017 issue of National Geographic magazine. It contains several articles, including:
- An article about divers exploring the waters under Antarctic ice sheets as deep as 230 feet below the surface.
- A piece on the last hunter of giant honeycombs guarded by the world's largest honeybees in Turkey.
- A story examining hummingbirds in slow motion using high-speed cameras to reveal secrets of their flight abilities.
- A report on how the Zetas drug cartel attacked a Mexican town in vengeance for a leaked information.
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AGU is one of the world's largest scientific societies with a membership of 60,000+. The AGU Sharing Science Program regularly runs webinars pertaining to science communication such as scicomm via storytelling, social media, multimedia, etc. Additionally, this year is AGU’s 100 year anniversary. As part of their centennial celebration, AGU is highlighting some national and international science days, among them World Oceans Day. In advance of World Oceans Day, AGU asked Dawn and Tashiana to describe to our scientific peers how we share our science as oceanographers, women in science, and effective science communicators.
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By the latter half of the 20th century the technologies behind SONAR, marine gravity, and marine magnetics had advanced to the point that the complexities of the ocean floor and beneath could be unraveled in unprecedented detail. Hence, scientists would finally be able to provide conclusive evidence for plate tectonics by way of plausible, proven physical mechanisms. But it took a young woman with an unusual background in geology, mathematics, and art to use that info to posit one of the most fundamental proofs of continental drift: a rift valley caused by the faulting of seafloor spreading. She did this while a researcher at Columbia University, in the lab of the iconic Maurice “Doc” Ewing, founder of the Lamont Geological Observatory. Along with geologist Bruce Heezen, she began the first systematic, comprehensive attempt to map the entire ocean floor. Heezen collected the data at sea, while Tharp developed a truly unique process for translating millions of these ocean-sounding records into a single drawing. During this process, she discovered the rift valley of the Mid-Atlantic Ridge, which Heezen at first discounted, holding incorrectly to his expanding Earth theory. Tharp's name was absent from the 1956 scientific paper that released this discovery to the world, and she was not given proper recognition for this and many other accomplishments until decades later. In 1968, she finally had the opportunity to go to sea, and performed the first ever shipboard processing and plotting of bathymetric data. During this time, Tharp and Heezen also formed a successful partnership with Austrian landscape painter Heinrich Berann to produce several panoramas of the ocean floor, leading to some of the most widely recognized and beloved images in all of modern Earth science. Indeed, as her first, long-time employer, Doc Ewing, invented the field of marine geophysics, Tharp invented the field of marine cartography. Her story in words, data, and maps is a story that must continue be told for the future of science as well as the past. It is a remarkable testament to persistence, conviction, and courageous innovation.
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American Association of Geographers (AAG) 2018 Symposium on Artificial Intelligence and Deep Learning in Geospatial Research
Whether to train a Deep Learning (DL) model to find objects of interest such as cars or solar panels in satellite or aerial images, or to classify such images into different categories of land-use, or other such tasks, a common starting point is always labeled ground truth or training data. From an industry perspective, an organization such as ESRI has a large user base of roughly 350,000 agencies, universities, non-profits, and other partners, with most of them maintaining and permanently updating their own GIS data. But how to allow this treasure trove of data to be effectively and appropriately used for training new DL models? This talk will provide an overview of new tools to export GIS data from multiple sources into popular DL formats such as KITTI or PASCAL_VOC. These can then be directly used as input to DL frameworks such as Microsoft CNTK or Google TensorFlow in order to train DL models. For example, NAIP images and building footprints of an entire county can be exported as a sequence of equally sized image chips plus one meta data file per image chip containing the bounding boxes around all buildings in KITTI format. From this data a DL model can be trained that detects buildings. The hope is that this new suite of tools will make it easier for DL researchers and students at all levels (from undergraduate to doctoral and beyond) to access existing GIS data and to use them for training new DL models.
Integrated GIS/Machine-Learning Workflows - Seagrass Use Case
Integrated GIS/Machine-Learning Workflows
for Modeling Spatiotemporal Variations in Potential Seagrass Habitats within a Changing Climate, European Geosciences Union General Assembly Paper ESSI4.3 – EGU2018-10081, Vienna, Austria, April 2018.
Coastal marine plant habitats are impacted by changes in ocean conditions and the resulting changes in plant
populations can produce positive climate feedbacks which exasperate warming. (Waycott et al., 2009). One such
example is seagrasses, marine plants that can sequester vast amounts of carbon. When compared to tropical
terrestrial forests, seagrasses can store up to 100 times more CO2 at a rate that is 12 times faster (Mcleod et al.,
2011). Understanding the future of an important biologic carbon sink such as seagrass can shed some light into
future carbon balance. Modeling the relationships between seagrass occurrence and ocean conditions, current and
future, can aid in quantifying the impacts on future carbon balance. In this work, we use an integrated GIS and
machine learning approach to build a data-driven model of seagrass presence-absence in a changing climate. We
quantify the relationships between observed seagrass occurrence and ocean conditions. This relationship allows us
to delineate patterns in current ocean conditions that promote favorable seagrass habitats.We pose this relationship
as a binary classification problem and utilize Random Forest to establish a relationship for seagrass occurrence.
This relationship is projected into the future under changing ocean conditions. We use deep-learning methods,
recurrent neural networks, to forecast ocean conditions as the oceans get warmer and use these conditions in
conjunction with the Random Forest model to predict the abundance of future seagrass habitats. We integrate
multiple data sources including fine-scale seagrass data from MarineCadastre.gov and the recently available,
globally extensive publicly available Ecological Marine Units (EMU) dataset. In addition, we use global ocean
models from NOAA to calibrate our ocean forecasts. Our analysis includes a sensitivity study which investigates
the vulnerability of seagrass to changes in specific ocean variables. We use the proposed model to provide an
upper bound of the amount of carbon that can be stored in seagrasses as ocean conditions change. Finally, we
use a Getis-Ord Gi* statistic within a space-time window to quantify the temporal changes in potential seagrass
habitats.
Swells, Soundings, and Sustainability in the Oceans
Seminar presentation to Department of Earth and Biological Sciences, Loma Linda University, March 28, 2018
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The Oxford University Greenland Expedition 2006 was funded by various trusts and organizations. Without this financial support from external donors, the expedition would not have been possible for the student team. The three member team embarked in early August and had a very successful expedition, exploring over 90km of uncharted terrain and making twelve first ascents of previously unclimbed peaks in Eastern Greenland.
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Polar bears (1)
The document summarizes information about polar bears. It describes their physical characteristics such as their large size, white coat, and webbed paws. It discusses their Arctic habitat and how they are adapted to living in icy conditions. It also outlines threats polar bears face from climate change, oil spills, and hunting. Their diet is explained as well as longevity and interactions with other species like seals.
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Recreational Tourism The Paper
This document summarizes a study on the effectiveness of recreational tourism in exposing city dwellers to remote natural landscapes and promoting conservation. It discusses how recreational river trips on the Colorado Plateau introduce tourists to raw, undeveloped nature through scenic beauty, night skies unobstructed by light pollution, and lessons about the area's natural and human history. Guides play a key role in interpreting the environment and building visitors' understanding and appreciation and why these lands are worth protecting. The document analyzes tourist experiences and perspectives over the course of a four-day river trip through ethnographic interviews and the author's own guiding experiences. It argues that recreational tourism can cultivate nature lovers who will support future conservation by exposing more people to natural
Explore the Ultimate Arctic Destination
This document advertises three Arctic expedition cruises to the North Pole and surrounding regions. The summaries include exploring the Arctic by helicopter, hot air balloon, and Zodiac boats. Guests will experience lectures, meals, and relax on the icebreaker ship with amenities. They can also join discussions with polar scientists and Indigenous leaders. The document promotes celebrating reaching 90 degrees north and gaining insight into the fragile Arctic ecosystem.
Nostalgia Speech
Here is a proposed 5 week day trip itinerary to Niagara Falls:
Day 1:
- Fly from New York City to Buffalo, NY
- Check into hotel in Buffalo
- Dinner at a local restaurant
Day 2:
- Drive from Buffalo to Niagara Falls (1 hour drive)
- Spend the morning at the American Falls and Bridal Veil Falls
- Take the Maid of the Mist boat tour
- Lunch in Niagara Falls
- Tour Old Fort Niagara in the afternoon
- Return to Buffalo hotel
Day 3:
- Drive from Buffalo to Letchworth State Park (2.5 hours)
- Hike trails
National geographic 2017_07_usa
The document is the July 2017 issue of National Geographic magazine. It contains several articles, including:
- An article about divers exploring the waters under Antarctic ice sheets as deep as 230 feet below the surface.
- A piece on the last hunter of giant honeycombs guarded by the world's largest honeybees in Turkey.
- A story examining hummingbirds in slow motion using high-speed cameras to reveal secrets of their flight abilities.
- A report on how the Zetas drug cartel attacked a Mexican town in vengeance for a leaked information.
Similar to Your Knowledge, Our Community, the Ocean's Resilience (10)
My Life on Trails--What a Cougar Taught Me About Conservation
My Life on Trails--What a Cougar Taught Me About Conservation
More from Dawn Wright
Geospatial as an Accelerator of Impact: Already Converging!
This document summarizes Dawn Wright's presentation on how geospatial technologies can accelerate ocean impact. Geospatial provides a proven framework across many domains like ecology, hydrology, and ocean science. A global geospatial framework is emerging through collaboration between Esri, universities, the UN, NOAA, and other organizations. This framework uses techniques like machine learning, 3D modeling, and sensor networks to track issues like seagrass distribution and dissolved oxygen levels. The goal is to create a shared understanding and more sustainable ocean future through open data sharing and digital experiences.
Ease Leads to Exposure , Exposure Leads to Adoption
The document discusses how ease of access to data and tools leads to greater exposure, which in turn leads to increased adoption. It provides examples of dashboards and data access tools created by ESRI and its partners that make earth observation data and analytics more accessible. Maintaining findable, accessible, interoperable and reusable (FAIR) principles as well as ensuring reproducibility and reliability of analyses is important for maximizing the value and trust in scientific data and tools.
Data for the Blue Future: New Collaborations for Progress
2020 UN World Data Forum Ocean Data Panel -- Data on the world’s oceans is vital to protect the environment, track and manage changes to the marine ecosystem, ensure access to coastal resources, and sustainably grow the “Blue Economy.” Climate scientists have noted that ocean data is as important as atmospheric and satellite data in understanding, predicting, and mitigating climate change. But despite its importance, ocean data has not yet been collected, shared, analyzed, and applied in all the ways that can achieve its full benefit.
Many converging factors provide the opportunity to make a quantum leap in the use of this global data resource. UN SDG Goal 14 highlighted the need to improve the health of the oceans and to collect data to track progress. In the United States, the National Oceanic and Atmospheric Administration (NOAA) and private-sector partners are making NOAA’s vast ocean data resources available and computable in the cloud. Simultaneously, established industries, emerging start-ups, academic and research institutions, and other non-government entities are collecting more data than ever about the ocean through active and autonomous measurements.
This session will be a “participatory panel” that presents case studies of ocean data’s application, describes current data sources and collaborations, and invites participants to help envision new collaborative models for improving ocean data collection, sharing, and analysis. The panelists, representing diverse organizations, will give lightning talks to describe existing data resources and examples of ocean data’s application, including the use of AI and machine learning for data management and for managing ocean resources. They will also describe collaborative programs that bring diverse stakeholders together to support the use of ocean data, such as NOAA’s Big Data Project and the Global Ocean Observing System.
AGU Sharing Science - Social Media Tips
Part of an American Geophysical Union (AGU) Sharing Science webinar on May 8, 2019, with yours truly and Scripps doctoral student Tashiana Osborne sharing our science communication, science policy and social media outreach tips in advance of World Oceans Day. The webinar is also on at http://ow.ly/4KVH50u5gUI.
AGU is one of the world's largest scientific societies with a membership of 60,000+. The AGU Sharing Science Program regularly runs webinars pertaining to science communication such as scicomm via storytelling, social media, multimedia, etc. Additionally, this year is AGU’s 100 year anniversary. As part of their centennial celebration, AGU is highlighting some national and international science days, among them World Oceans Day. In advance of World Oceans Day, AGU asked Dawn and Tashiana to describe to our scientific peers how we share our science as oceanographers, women in science, and effective science communicators.
The Perils and Promise of Environmental Data Science
Keynote address delivered in April 2019 to the Yale School of Forestry & Environmental Studies, during their annual research conference. "The mission of the Annual F&ES Research Conference is to provide a forum for research degree students and postdocs to share their original work with the F&ES community, as well as with the broader Yale and New Haven communities. After the success of last year's partnership with Yale Pathways to Science, we will again open conference attendance to local high school students and host events emphasizing research communication. Our aim is for the conference to facilitate interdisciplinary communication and collaboration both within the School and beyond the walls of Kroon."
Discovery, Technology, Hope: Colorado College Roberts Symposium
A plenary talk within the Harold Roberts Endowed Symposium at Colorado College on the theme "Beyond Climate Change: The Earth in the Anthropocene." The symposium (in May 2019) featured commentary on the lithosphere, biosphere, cryosphere, and Dawn's treatment of the hydrosphere (including #SDGs), all with an eye toward developing a public (and student) understanding of the breadth of environmental issues facing humanity.
Marie Tharp, Giants of Tectonophysics Session, American Geophysical Union
Invited paper U22A-02, Giants of Tectonophysics Session, American Geophysical Union Fall Meeting.
In honor of AGU's centennial, this session profiles breakthrough discoveries by leading contributors to the study of plate tectonics, geodynamics, earthquakes and faulting, and rock mechanics over the past century. Biographers and colleagues of these leading lights presented the stories of these giants to give us an understanding about how they worked, how they acquired their unique insight, what conflicts they faced in presenting their ideas, and what it was like to collaborate with or debate them.
By the latter half of the 20th century the technologies behind SONAR, marine gravity, and marine magnetics had advanced to the point that the complexities of the ocean floor and beneath could be unraveled in unprecedented detail. Hence, scientists would finally be able to provide conclusive evidence for plate tectonics by way of plausible, proven physical mechanisms. But it took a young woman with an unusual background in geology, mathematics, and art to use that info to posit one of the most fundamental proofs of continental drift: a rift valley caused by the faulting of seafloor spreading. She did this while a researcher at Columbia University, in the lab of the iconic Maurice “Doc” Ewing, founder of the Lamont Geological Observatory. Along with geologist Bruce Heezen, she began the first systematic, comprehensive attempt to map the entire ocean floor. Heezen collected the data at sea, while Tharp developed a truly unique process for translating millions of these ocean-sounding records into a single drawing. During this process, she discovered the rift valley of the Mid-Atlantic Ridge, which Heezen at first discounted, holding incorrectly to his expanding Earth theory. Tharp's name was absent from the 1956 scientific paper that released this discovery to the world, and she was not given proper recognition for this and many other accomplishments until decades later. In 1968, she finally had the opportunity to go to sea, and performed the first ever shipboard processing and plotting of bathymetric data. During this time, Tharp and Heezen also formed a successful partnership with Austrian landscape painter Heinrich Berann to produce several panoramas of the ocean floor, leading to some of the most widely recognized and beloved images in all of modern Earth science. Indeed, as her first, long-time employer, Doc Ewing, invented the field of marine geophysics, Tharp invented the field of marine cartography. Her story in words, data, and maps is a story that must continue be told for the future of science as well as the past. It is a remarkable testament to persistence, conviction, and courageous innovation.
52 Million Points and Counting: A New Stratification Approach for Mapping Glo...
The document summarizes a presentation about mapping global marine ecosystems using Ecological Marine Units (EMUs). EMUs divide the ocean into 3D units based on properties like temperature, salinity, oxygen, and nutrients from 52 million data points. 37 distinct EMU clusters were identified. EMUs support applications like predicting how warming may impact seagrass habitats and developing a framework for ocean monitoring networks. Future work includes developing Ecological Coastal and Freshwater Units using a similar approach.
Discovery, Technology, Hope
EarthX Exhibition and EarthX Ocean Conference, Dallas, Texas, April 20-22, 2018
EarthX, the largest Earth Day celebration in the world! Multiplying Environmental Awareness. Visit earthx.org to discover the expo, conference and film festival for creating positive solutions for the Earth
Toward Easy Export of Imagery Products and Feature Classes as Training Data f...
American Association of Geographers (AAG) 2018 Symposium on Artificial Intelligence and Deep Learning in Geospatial Research
Whether to train a Deep Learning (DL) model to find objects of interest such as cars or solar panels in satellite or aerial images, or to classify such images into different categories of land-use, or other such tasks, a common starting point is always labeled ground truth or training data. From an industry perspective, an organization such as ESRI has a large user base of roughly 350,000 agencies, universities, non-profits, and other partners, with most of them maintaining and permanently updating their own GIS data. But how to allow this treasure trove of data to be effectively and appropriately used for training new DL models? This talk will provide an overview of new tools to export GIS data from multiple sources into popular DL formats such as KITTI or PASCAL_VOC. These can then be directly used as input to DL frameworks such as Microsoft CNTK or Google TensorFlow in order to train DL models. For example, NAIP images and building footprints of an entire county can be exported as a sequence of equally sized image chips plus one meta data file per image chip containing the bounding boxes around all buildings in KITTI format. From this data a DL model can be trained that detects buildings. The hope is that this new suite of tools will make it easier for DL researchers and students at all levels (from undergraduate to doctoral and beyond) to access existing GIS data and to use them for training new DL models.
Integrated GIS/Machine-Learning Workflows - Seagrass Use Case
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for Modeling Spatiotemporal Variations in Potential Seagrass Habitats within a Changing Climate, European Geosciences Union General Assembly Paper ESSI4.3 – EGU2018-10081, Vienna, Austria, April 2018.
Coastal marine plant habitats are impacted by changes in ocean conditions and the resulting changes in plant
populations can produce positive climate feedbacks which exasperate warming. (Waycott et al., 2009). One such
example is seagrasses, marine plants that can sequester vast amounts of carbon. When compared to tropical
terrestrial forests, seagrasses can store up to 100 times more CO2 at a rate that is 12 times faster (Mcleod et al.,
2011). Understanding the future of an important biologic carbon sink such as seagrass can shed some light into
future carbon balance. Modeling the relationships between seagrass occurrence and ocean conditions, current and
future, can aid in quantifying the impacts on future carbon balance. In this work, we use an integrated GIS and
machine learning approach to build a data-driven model of seagrass presence-absence in a changing climate. We
quantify the relationships between observed seagrass occurrence and ocean conditions. This relationship allows us
to delineate patterns in current ocean conditions that promote favorable seagrass habitats.We pose this relationship
as a binary classification problem and utilize Random Forest to establish a relationship for seagrass occurrence.
This relationship is projected into the future under changing ocean conditions. We use deep-learning methods,
recurrent neural networks, to forecast ocean conditions as the oceans get warmer and use these conditions in
conjunction with the Random Forest model to predict the abundance of future seagrass habitats. We integrate
multiple data sources including fine-scale seagrass data from MarineCadastre.gov and the recently available,
globally extensive publicly available Ecological Marine Units (EMU) dataset. In addition, we use global ocean
models from NOAA to calibrate our ocean forecasts. Our analysis includes a sensitivity study which investigates
the vulnerability of seagrass to changes in specific ocean variables. We use the proposed model to provide an
upper bound of the amount of carbon that can be stored in seagrasses as ocean conditions change. Finally, we
use a Getis-Ord Gi* statistic within a space-time window to quantify the temporal changes in potential seagrass
habitats.
Swells, Soundings, and Sustainability in the Oceans
Seminar presentation to Department of Earth and Biological Sciences, Loma Linda University, March 28, 2018
University of Redlands Symposium 2018
The document summarizes a presentation by Dawn Wright on communicating science to non-experts. Some key points:
- Scientists need to better communicate their work to policymakers, as less than 2% of US Congress has a science background. Stories are persuasive ways to share data.
- Training is needed for future generations of scientists to engage with the media, policymakers, and the public through outreach, blogs, etc. This can benefit scientists' careers.
- An example showed communicating climate change health risks to policymakers could help prepare for disease outbreaks and reduce emissions through informed policy.
- Resources like COMPASS and Trellis aim to help scientists better share their work and make an impact through
Socialspatial Research for Communities: Telling the Story of People and Place
Tag team presentation to University of Kansas Institute for Policy and Social Research + University of Kansas Libraries
Ocean Solutions, Earth Solutions
Keynote address for 20th Society of Conservation GIS (SCGIS) Meeting, Asilomar Conference Center near Monterey, CA, July 17, 2017. Full notes available at http://esriurl.com/scgis17.
Ecological Marine Units: A New Public-Private Partnership for the Global Ocean
Invited keynote for the 2017 Marine GIS User Group meeting held Thursday, May 25th at Stanford’s Hopkins Marine Station, 120 Ocean View Blvd., Pacific Grove, CA. The main web site for this user group is walrus.wr.usgs.gov/MontereyBayMarineGIS. The event page for the talk: https://hopkinsmarinestation.stanford.edu/events/dawn-wright-oregon-state-university-new-public-private-partnership-global-ocean
A Dark Side to Data-Centric Geography? Where are the Reward Systems?
The document discusses a symposium on human dynamics research and a potential dark side to data-centric geography. It questions where reward systems are for data scientists in geography and what institutional barriers need to be removed to better prepare graduates for success in both academia and industry. The document considers what drivers could shift academia to better recognize and reward data scientists and where data science fits within the university structure.
Feature Geo Analytics and Big Data Processing: Hybrid Approaches for Earth Sc...
Invited talk for 2016 AGU Fall Meeting Session IN12A Big Data Analytics I
Introduced is a new approach for processing spatiotemporal big data by leveraging distributed analytics and storage. A suite of temporally-aware analysis tools summarizes data nearby or within variable windows, aggregates points (e.g., for various sensor observations or vessel positions), reconstructs time-enabled points into tracks (e.g., for mapping and visualizing storm tracks), joins features (e.g., to find associations between features based on attributes, spatial relationships, temporal relationships or all three simultaneously), calculates point densities, finds hot spots (e.g., in species distributions), and creates space-time slices and cubes (e.g., in microweather applications with temperature, humidity, and pressure, or within human mobility studies). These “feature geo analytics” tools run in both batch and streaming spatial analysis mode as distributed computations across a cluster of servers on typical “big” data sets, where static data exist in traditional geospatial formats (e.g., shapefile) locally on a disk or file share, attached as static spatiotemporal big data stores, or streamed in near-real-time. In other words, the approach registers large datasets or data stores with ArcGIS Server, then distributes analysis across a cluster of machines for parallel processing. Several brief use cases will be highlighted based on a 16-node server cluster at 14 Gb RAM per node, allowing, for example, the buffering of over 8 million points or thousands of polygons in ~1 minute. The approach is “hybrid” in that ArcGIS Server integrates open-source big data frameworks such as Apache Hadoop and Apache Spark on the cluster in order to run the analytics. In addition, the user may devise and connect custom open-source interfaces and tools developed in Python or Python Notebooks; the common denominator being the familiar REST API.
Esri and the Scientific Community
Department of Geography and Geoinformation Science Seminar, George Mason University, Falls Church, VA, September 2015.
Increasingly, GIS is part of the collaboration between computer scientists, information scientists, and domain scientists to solve complex scientific questions. Successfully addressing scientific problems, such as informing regional decision- and policy-making for coastal zone management and marine spatial planning, requires integrative and innovative approaches to analyzing, modeling, and developing extensive and diverse data sets. The current chaotic distribution of available data sets, lack of documentation about them, and lack of easy-to-use access tools and computer modeling and analysis codes are still major obstacles for scientists and educators alike. Contributing solutions to these problems is part of an emerging science agenda at Esri for a range of environmental, conservation, climate and ocean sciences that will be discussed. The talk will highlight some recent projects in progress, including a new global map of ecological land units, new tools to support multidimensional scientific data, continued work on an ocean basemap, and more.
Latest Developments in Oceanographic Applications of GIS, including Near-real...
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Data for the Blue Future: New Collaborations for Progress
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Marie Tharp, Giants of Tectonophysics Session, American Geophysical Union
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- 1. Your Knowledge … Our Community … The Ocean’s Resilience… Dawn J. Wright, Ph.D., GISP Esri Chief Scientist
- 6. Your Knowledge … Our Community … The Ocean’s Resilience… Dawn J. Wright, Ph.D., GISP Esri Chief Scientist
- 8. “The oceans deserve our respect and care, but you have to know [about] something before you can care about it.” -- Sylvia Earle, 2017 tweet
- 10. “The 20th century was the century of undersampling the ocean.” -- Walter Munk With thanks to Margaret Leinen, Director of Scripps
- 11. “If Wayne Gretsky were an oceanographer, would we win the Stanley Cup?” -- John Delaney, 2017 National Ocean Exploration Forum
- 12. “Skate to where the puck is going, not to where it is now.” -- Wayne Gretsky With thanks to John Delaney, U. of Washington
- 13. community.esri.com/groups/ocean blogs.microsoft.com/green/2017/10/06/ai-earth-oceans/ Apply by Dec 15 to: https://www.microsoft.com/en-us/research/academic-program/azure- research-ai-earth-european-union-oceans-award/ collections.storymaps.esri.com/ocean-stories
- 14. Ocean Forum Knowledge Production
- 15. Our Community…
- 16. “If you want to go fast go alone. If you want to go far, go together.” -- African proverb
- 20. #OceanOptimism Riley, new Esri mascot
- 22. …deal with changes, threats Re•sil•ience [n.] …absorb disturbance, stress, catastrophe …recover quickly to a prior desired state esriurl.com/resilientdata
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Editor's Notes
- https://twitter.com/Scripps_Ocean/status/924054341601726464 – pumpkin carving aboard R/V Revelle https://twitter.com/oceanexplorer/status/924007468899938305 - ghostly octopus found by the E/V Nautilus
- https://twitter.com/SylviaEarle/status/924312650502299648
- https://twitter.com/SylviaEarle/status/924312650502299648
- With thanks to Margaret Leinen, Director of Scripps
- https://twitter.com/SylviaEarle/status/924312650502299648
- https://twitter.com/oceanexplorer/status/924007468899938305 - for Halloween slide
- For past Ocean GIS Forums, full talks were selected for inclusion in the research monograph Ocean Solutions, Earth Solutions. After 2 successful editions, we are now focusing of Learn modules as additional publication outlets for the Forum (e.g., Laura Flessner of TNC, NCAR), as well as a special issue of the Journal of Geography spearheaded by Associate Editor Tim Hawthorne of the U. of Central Florida with Dawn Wright as special issue co-editor.
- Featured in the 2014 Reece Witherspoon film, The Good Lie
- But it is SDG 14 that we really want to focus on this evening, as it is all about “Life Below Water” with an eye toward reducing marine debris and other types of pollution, managing and protecting the ocean, ending overfishing, addressing ocean acidification
- https://twitter.com/oceanexplorer/status/924007468899938305 - for Halloween slide
- Especially as aided by good POLICY
- Resilience: to influence policy – we hear about CLIMATE or ENVIRONMENTAL resilience, COMMUNITY resilience, even PERSONAL resilience To achieve NOAA’s vision of Environmental Intelligence we need “Digital Resilience” In other words, how can we ensure that the data, information and tools that we work so hard to collect, build, and curate are really used, and used effectively? If we want a resilient world, we need to start with resilient data.