This document discusses several empirical approaches for analyzing large geographic datasets:
1) Matching datasets in ArcGIS by spatially joining points and polygons using tools like Extract Values to Points for large raster datasets.
2) Reading shapefile and database files into Stata using the shp2dta command to link geographic and attribute information.
3) Comparing the costs of action vs. inaction in biomodeling by predicting outcomes under different land management scenarios.
4) Geocoding villages without geographic coordinates using online tools to assign latitude and longitude for merging external geographic data.
5) Standardizing country names in Stata using the kountry command to facilitate linking datasets based on country information.
This document describes building an OLAP cube reporting solution using data from the Netflix OLTP database. It involves extracting data from the Netflix database, loading it into staging tables, transforming the data, and loading it into dimensional tables and fact tables in a data warehouse. Three OLAP cubes (Rental, DVD, and Payment) are created to generate dynamic multidimensional reports for Netflix. The process flow, database diagrams, cube dimensions/measures, and sample reports are documented.
MeteoIO is a meteorological data input/output library that aims to remove IO functions from physics engines, make IO easy to use and robust, and simplify data preparation. It supports reading data from various sources into standardized data structures and writing output. Plugins allow adding new data sources. It performs operations like data filtering, unit conversions, and spatial and temporal interpolation to produce complete meteorological datasets.
The goal is to combine data from three monthly SAS data sets (April, May, June) into a single quarterly data set for analysis. The document provides code to:
1) Examine the monthly data sets and identify variable names.
2) Write a data step to concatenate the monthly data sets into a new quarterly data set, renaming variables as needed.
3) Add two new variables (TotalTar and TotalRev) calculating totals and print the new data set.
The second part of the document merges two data sets to compare targeted vs actual cargo revenue for flights from Birmingham on December 15, 1999, calculating any lost revenue.
Building Location Aware Apps - Get Started with PostGIS, PART IIlasmasi
This document provides an introduction to using PostGIS for building location-aware applications. It discusses importing geospatial data like shapefiles, CSVs, and OpenStreetMap data into a Postgres database using tools like shp2pgsql, psql, and osm2pgsql. It also covers visualizing the data in desktop GIS tools like QGIS and OpenJUMP and performing spatial queries and analyses. Exercises demonstrate importing different data sources and setting up database tables and stored procedures to power a mobile application for finding nearby points of interest based on a user's location.
Using geo dcat ap specification for sharing metadata in geoss and inspireWirelessInfo
The document discusses using the GeoDCAT-AP specification for sharing metadata in the Global Earth Observation System of Systems (GEOSS) and the INSPIRE Directive. It describes the Czech Republic's implementation of a national INSPIRE geoportal that harvests metadata from various catalogues using the Common Warehouse Metamodel and publishes the metadata using GeoDCAT-AP to be discoverable on the European INSPIRE geoportal and other systems. The national geoportal extends the Catalogue Service for the Web to support additional standards like ISO 19139 and allows metadata to be harvested from sources like the Czech National Open Data Catalogue using its API or the DCAT-AP format.
OpenGeoData Italia - Roma - Simone Cortesi | Maurizio Napolitano | openstreet...Simone Cortesi
Discussione su OpenStreetMap, sistemi GIS classici, confronti, potenzialità di OSM e dei suoi strumenti di estrazione dati.
Slide per la conferenza OpenGeoData Italia - Roma - 27 febbraio 2014.
This document discusses several empirical approaches for analyzing large geographic datasets:
1) Matching datasets in ArcGIS by spatially joining points and polygons using tools like Extract Values to Points for large raster datasets.
2) Reading shapefile and database files into Stata using the shp2dta command to link geographic and attribute information.
3) Comparing the costs of action vs. inaction in biomodeling by predicting outcomes under different land management scenarios.
4) Geocoding villages without geographic coordinates using online tools to assign latitude and longitude for merging external geographic data.
5) Standardizing country names in Stata using the kountry command to facilitate linking datasets based on country information.
This document describes building an OLAP cube reporting solution using data from the Netflix OLTP database. It involves extracting data from the Netflix database, loading it into staging tables, transforming the data, and loading it into dimensional tables and fact tables in a data warehouse. Three OLAP cubes (Rental, DVD, and Payment) are created to generate dynamic multidimensional reports for Netflix. The process flow, database diagrams, cube dimensions/measures, and sample reports are documented.
MeteoIO is a meteorological data input/output library that aims to remove IO functions from physics engines, make IO easy to use and robust, and simplify data preparation. It supports reading data from various sources into standardized data structures and writing output. Plugins allow adding new data sources. It performs operations like data filtering, unit conversions, and spatial and temporal interpolation to produce complete meteorological datasets.
The goal is to combine data from three monthly SAS data sets (April, May, June) into a single quarterly data set for analysis. The document provides code to:
1) Examine the monthly data sets and identify variable names.
2) Write a data step to concatenate the monthly data sets into a new quarterly data set, renaming variables as needed.
3) Add two new variables (TotalTar and TotalRev) calculating totals and print the new data set.
The second part of the document merges two data sets to compare targeted vs actual cargo revenue for flights from Birmingham on December 15, 1999, calculating any lost revenue.
Building Location Aware Apps - Get Started with PostGIS, PART IIlasmasi
This document provides an introduction to using PostGIS for building location-aware applications. It discusses importing geospatial data like shapefiles, CSVs, and OpenStreetMap data into a Postgres database using tools like shp2pgsql, psql, and osm2pgsql. It also covers visualizing the data in desktop GIS tools like QGIS and OpenJUMP and performing spatial queries and analyses. Exercises demonstrate importing different data sources and setting up database tables and stored procedures to power a mobile application for finding nearby points of interest based on a user's location.
Using geo dcat ap specification for sharing metadata in geoss and inspireWirelessInfo
The document discusses using the GeoDCAT-AP specification for sharing metadata in the Global Earth Observation System of Systems (GEOSS) and the INSPIRE Directive. It describes the Czech Republic's implementation of a national INSPIRE geoportal that harvests metadata from various catalogues using the Common Warehouse Metamodel and publishes the metadata using GeoDCAT-AP to be discoverable on the European INSPIRE geoportal and other systems. The national geoportal extends the Catalogue Service for the Web to support additional standards like ISO 19139 and allows metadata to be harvested from sources like the Czech National Open Data Catalogue using its API or the DCAT-AP format.
OpenGeoData Italia - Roma - Simone Cortesi | Maurizio Napolitano | openstreet...Simone Cortesi
Discussione su OpenStreetMap, sistemi GIS classici, confronti, potenzialità di OSM e dei suoi strumenti di estrazione dati.
Slide per la conferenza OpenGeoData Italia - Roma - 27 febbraio 2014.
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
This document discusses making GDB-dominated data more efficient by using coded-value domains instead of look-up tables. It shows how replacing two 40-character fields describing European railroad lines with two 1-character coded fields reduces disk space usage from 7 MB to 5.7 MB. It also provides examples of the initial and final data contents, as well as how to use ModelBuilder to calculate one field based on characters of another.
The document summarizes performance tests conducted on a WMS backend for a new weather map client. Estimates suggested the backend may receive up to 5000 requests per second. Initial tests at 2000 and 4000 requests per second found the setup performed well with layers pre-tiled and the load balancer caching many requests. However, vulnerabilities were identified if untiled layers or many different layers were requested. Further optimization of the client was recommended to reduce load on the backend.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
التحليل المكاني للجزر الحرارية في مدينة الرياض مناور المطيري - إشراف أ.د. م...Mohammed Sharaf
This document describes methods used to analyze urban heat islands using satellite imagery. Surface temperature data was extracted from Landsat 5 and Landsat 7 thermal bands and analyzed using GIS software. Land surface temperatures were calculated from satellite radiance values and compared between urban and rural areas to identify heat islands and quantify risks from increasing temperatures in cities. Spatial patterns of higher temperatures in urban centers compared to outlying areas indicated the presence of urban heat islands.
This document discusses a dataset of shipping and weather data from 1662-1855 collected from captains' logs. It contains details on ships, routing, locations, and weather parameters. The data is stored in a file geodatabase with associated lookup tables for wind force and direction from different maritime agencies. Joining these lookup tables doubled the number of feature classes as the wind force and direction were merged into single columns. Diagrams of the data model are also included.
CCCA Data Centre - Dynamic Data Citation for NetCDF filesChris Schubert
Dynamic Data Citation for NetCDF files. This implementation on Dynamic Data Citation at the CCCA Data Centre focused on the CF standard compliant NetCDF data of high resolution climate scenarios for Austria until December 2100, called OeKS15. User are able to create (intersect) subsets via web services, arguments like individual area of interest, time range and specific attributes are allowed. Combined with persistent Identifier, proper metadata and version management, created subsets are on demand published and available for sharing. An automated generated Citation text is available for scientific best practice. With this tool only queries were stored, not the the generated subset itself, it means no redundant storage consumption.
This document proposes an economical and efficient approach to electrical survey data collection and network topology creation using GIS survey tools and network analysis software. Key offerings include tools for GIS surveying, data conversion from surveys to network analysis, network analysis services, and diagram/BOQ generation. The approach is estimated to save 35-60 man-days per 100-feeder project compared to conventional methods. Deliverables would include network models, analysis reports, diagrams, and bills of quantities.
This document discusses deduplication in resistive content-addressable memory (ReCAM) solid state drives. It describes how deduplication works traditionally using RAM and CPU, which requires complex data structures and computations. ReCAM allows for simpler deduplication by enabling the comparison of all data blocks simultaneously using the ReCAM crossbar. Simulation results show ReCAM provides over 100x higher throughput and similar or lower energy consumption than traditional deduplication approaches using RAM and CPU. ReCAM could be useful for deduplicating data in storage systems.
This document provides an overview of Geonetwork, an open source software for cataloguing geospatial data. It discusses why Geonetwork is needed, including to catalogue geospatial data, expose metadata in ISO standards, and implement spatial searches. Geonetwork is adopted because it is open source, has an active community and userbase, and allows for easy updates. The document then covers how to deploy and use Geonetwork, loading metadata standards and records, and harvesting from OGC services. Known deployments of Geonetwork around the world are also listed.
This document discusses Drupal and the geospatial web. It provides examples of how to display maps and geospatial data using different Drupal modules, APIs and standards like Google Maps, Mapnik, GeoRSS, KML, WMS, and WFS. It also discusses open source geospatial communities and argues that understanding the geospatial web is important for building applications for democracy.
This document discusses the consumerization of geospatial technologies and how it will impact utility companies. It describes how consumer apps are driving higher expectations for simplicity and usability. It also outlines some of the challenges of building field applications that can work both online and offline. It discusses different architectural approaches for offline data storage and synchronization, including replicating databases on laptops, using PhoneGap with SQLite, caching data with HTML5, and alternatives like external storage on USB sticks. The key is providing robust offline access while syncing large datasets when back online.
This document provides an outline for training on using mobile apps for ArcGIS for data preparation, processing, and field collection. It covers preparing and publishing data to ArcGIS Online, configuring projects in Collector and forms in Survey123, collecting and syncing data in the field apps, and exporting data. Specific topics include geodatabase and map document creation, publishing feature services, configuring apps in AGOL, using Collector and Survey123 for data collection on points, polygons and lines, and considerations for location services and GPS on mobile devices.
This document discusses automating spatial data sharing between data producers and end users in Wallonia, Belgium. It describes using FME to create an integrated workflow that simplifies data sharing. The workflow validates and transforms data from multiple producers into various formats, then distributes updated data on demand to end users based on their specifications. This automated process saves time by eliminating repetitive manual data distribution tasks.
Improving Weather Information Data Services with FMESafe Software
Iowa Department of Transportation needed to modernize their WeatherView web application which provides weather data to the public. This data comes from both AWOS (Automated Weather Observation System) and RWIS (Roadway Weather Information System) data feeds. The existing WeatherView application used a combination of direct database and REST services. Iowa DOT has moved to an open data model for their geospatial data and wanted to revamp the AWOS and RWIS REST services to provide more data to the public and to be leveraged in multiple applications/solutions.
I leveraged FME due to the complexity of processing the data. The data sources included JSON feeds, database views and an FTP folder. I needed to leverage startup Python Scripts for moving RWIS images between two FTP folders. The Maintenance Office wanted to add a ‘Spatial Buddy Check’ for several sensors on the RWIS data feed to exclude outlier values. Finally, Iowa DOT leverages ArcGIS Online Feature Collections for high availability data feeds. This requires a custom shutdown Python script to update Feature Collections after the AGOL Feature Service is updated.
This presentation will cover the different methods used to modernize the AWOS and RWIS weather data feeds so they could be leveraged by the public and in other geospatial solutions.
WeatherView URL: weatherview.iowadot.gov
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
DSD-INT 2016 OpenEarth components in Data Science, some examples - HendriksenDeltares
Presentation by Gerrit Hendriksen (Deltares) at Earth Observation and Data Science Symposium, during Delft Software Days 2016. Monday 24 October 2016, Delft.
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
The document provides information about the Finnish Meteorological Institute (FMI) including:
- FMI has roughly 650 full-time employees split between research and operational services related to public safety, commercial, and other sectors.
- FMI's software development team consists of 40-50 developers working across several units, with all new development done as open source.
- In 2013, FMI began openly providing its data in machine-readable formats through an open data portal.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
This document discusses making GDB-dominated data more efficient by using coded-value domains instead of look-up tables. It shows how replacing two 40-character fields describing European railroad lines with two 1-character coded fields reduces disk space usage from 7 MB to 5.7 MB. It also provides examples of the initial and final data contents, as well as how to use ModelBuilder to calculate one field based on characters of another.
The document summarizes performance tests conducted on a WMS backend for a new weather map client. Estimates suggested the backend may receive up to 5000 requests per second. Initial tests at 2000 and 4000 requests per second found the setup performed well with layers pre-tiled and the load balancer caching many requests. However, vulnerabilities were identified if untiled layers or many different layers were requested. Further optimization of the client was recommended to reduce load on the backend.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
التحليل المكاني للجزر الحرارية في مدينة الرياض مناور المطيري - إشراف أ.د. م...Mohammed Sharaf
This document describes methods used to analyze urban heat islands using satellite imagery. Surface temperature data was extracted from Landsat 5 and Landsat 7 thermal bands and analyzed using GIS software. Land surface temperatures were calculated from satellite radiance values and compared between urban and rural areas to identify heat islands and quantify risks from increasing temperatures in cities. Spatial patterns of higher temperatures in urban centers compared to outlying areas indicated the presence of urban heat islands.
This document discusses a dataset of shipping and weather data from 1662-1855 collected from captains' logs. It contains details on ships, routing, locations, and weather parameters. The data is stored in a file geodatabase with associated lookup tables for wind force and direction from different maritime agencies. Joining these lookup tables doubled the number of feature classes as the wind force and direction were merged into single columns. Diagrams of the data model are also included.
CCCA Data Centre - Dynamic Data Citation for NetCDF filesChris Schubert
Dynamic Data Citation for NetCDF files. This implementation on Dynamic Data Citation at the CCCA Data Centre focused on the CF standard compliant NetCDF data of high resolution climate scenarios for Austria until December 2100, called OeKS15. User are able to create (intersect) subsets via web services, arguments like individual area of interest, time range and specific attributes are allowed. Combined with persistent Identifier, proper metadata and version management, created subsets are on demand published and available for sharing. An automated generated Citation text is available for scientific best practice. With this tool only queries were stored, not the the generated subset itself, it means no redundant storage consumption.
This document proposes an economical and efficient approach to electrical survey data collection and network topology creation using GIS survey tools and network analysis software. Key offerings include tools for GIS surveying, data conversion from surveys to network analysis, network analysis services, and diagram/BOQ generation. The approach is estimated to save 35-60 man-days per 100-feeder project compared to conventional methods. Deliverables would include network models, analysis reports, diagrams, and bills of quantities.
This document discusses deduplication in resistive content-addressable memory (ReCAM) solid state drives. It describes how deduplication works traditionally using RAM and CPU, which requires complex data structures and computations. ReCAM allows for simpler deduplication by enabling the comparison of all data blocks simultaneously using the ReCAM crossbar. Simulation results show ReCAM provides over 100x higher throughput and similar or lower energy consumption than traditional deduplication approaches using RAM and CPU. ReCAM could be useful for deduplicating data in storage systems.
This document provides an overview of Geonetwork, an open source software for cataloguing geospatial data. It discusses why Geonetwork is needed, including to catalogue geospatial data, expose metadata in ISO standards, and implement spatial searches. Geonetwork is adopted because it is open source, has an active community and userbase, and allows for easy updates. The document then covers how to deploy and use Geonetwork, loading metadata standards and records, and harvesting from OGC services. Known deployments of Geonetwork around the world are also listed.
This document discusses Drupal and the geospatial web. It provides examples of how to display maps and geospatial data using different Drupal modules, APIs and standards like Google Maps, Mapnik, GeoRSS, KML, WMS, and WFS. It also discusses open source geospatial communities and argues that understanding the geospatial web is important for building applications for democracy.
This document discusses the consumerization of geospatial technologies and how it will impact utility companies. It describes how consumer apps are driving higher expectations for simplicity and usability. It also outlines some of the challenges of building field applications that can work both online and offline. It discusses different architectural approaches for offline data storage and synchronization, including replicating databases on laptops, using PhoneGap with SQLite, caching data with HTML5, and alternatives like external storage on USB sticks. The key is providing robust offline access while syncing large datasets when back online.
This document provides an outline for training on using mobile apps for ArcGIS for data preparation, processing, and field collection. It covers preparing and publishing data to ArcGIS Online, configuring projects in Collector and forms in Survey123, collecting and syncing data in the field apps, and exporting data. Specific topics include geodatabase and map document creation, publishing feature services, configuring apps in AGOL, using Collector and Survey123 for data collection on points, polygons and lines, and considerations for location services and GPS on mobile devices.
This document discusses automating spatial data sharing between data producers and end users in Wallonia, Belgium. It describes using FME to create an integrated workflow that simplifies data sharing. The workflow validates and transforms data from multiple producers into various formats, then distributes updated data on demand to end users based on their specifications. This automated process saves time by eliminating repetitive manual data distribution tasks.
Improving Weather Information Data Services with FMESafe Software
Iowa Department of Transportation needed to modernize their WeatherView web application which provides weather data to the public. This data comes from both AWOS (Automated Weather Observation System) and RWIS (Roadway Weather Information System) data feeds. The existing WeatherView application used a combination of direct database and REST services. Iowa DOT has moved to an open data model for their geospatial data and wanted to revamp the AWOS and RWIS REST services to provide more data to the public and to be leveraged in multiple applications/solutions.
I leveraged FME due to the complexity of processing the data. The data sources included JSON feeds, database views and an FTP folder. I needed to leverage startup Python Scripts for moving RWIS images between two FTP folders. The Maintenance Office wanted to add a ‘Spatial Buddy Check’ for several sensors on the RWIS data feed to exclude outlier values. Finally, Iowa DOT leverages ArcGIS Online Feature Collections for high availability data feeds. This requires a custom shutdown Python script to update Feature Collections after the AGOL Feature Service is updated.
This presentation will cover the different methods used to modernize the AWOS and RWIS weather data feeds so they could be leveraged by the public and in other geospatial solutions.
WeatherView URL: weatherview.iowadot.gov
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
DSD-INT 2016 OpenEarth components in Data Science, some examples - HendriksenDeltares
Presentation by Gerrit Hendriksen (Deltares) at Earth Observation and Data Science Symposium, during Delft Software Days 2016. Monday 24 October 2016, Delft.
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
The document provides information about the Finnish Meteorological Institute (FMI) including:
- FMI has roughly 650 full-time employees split between research and operational services related to public safety, commercial, and other sectors.
- FMI's software development team consists of 40-50 developers working across several units, with all new development done as open source.
- In 2013, FMI began openly providing its data in machine-readable formats through an open data portal.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
Big data challenges are common : we are all doing aggregations , machine learning , anomaly detection, OLAP ...
This presentation describe how InnerActive answer those requirements
Toolchain for real-time simulations: GSN-MeteoIO-GEOtopRiccardo Rigon
This document describes a real-time toolchain for collecting sensor data through GSN, feeding it into the GEOtop hydrological model, and publishing the real-time simulation results. Key aspects include making GEOtop capable of starting, pausing and resuming simulations using recovery files, accessing sensor data through the MeteoIO library and its GSNIO plugin, and demonstrating the end-to-end workflow of retrieving real-time data and running GEOtop simulations. Future work includes enhancing GSN and the models to better support real-time gridded data and multiple concurrent users.
This document discusses the GeoServer ecosystem and integrations. GeoServer is an open source geospatial data server that can publish data using open standards. It is used by many organizations to serve maps and geospatial data on the web. The document highlights several integrations and uses of GeoServer including by government agencies to serve satellite imagery, cadastral data, and more. It also discusses commercial support from Boundless and how GeoServer can be deployed in cloud environments and integrated with other open source geospatial tools like GeoNetwork, GeoNode, and World Wind Server.
With the implementation of the new Altalis Platform, Altalis continues to distribute a variety of spatial data products in various formats that span Alberta and elsewhere. To fulfill translation requests, a number of factors determine the automated workflow, such as by a data update or delivery task, by product, by format, and more. We will showcase how we used FME Workbench and FME Server as a core component of the application platform to perform the translations and the optimizations we implemented.
Accès ouvert aux données météorologiques d’Environnement CanadaVisionGEOMATIQUE2014
Deux services de données géospatiales offerts par le Service météorologique Canada (Environnement Canada) seront présentés.
Le Datamart du SMC permet de télécharger des données brutes produites par le Service météorologique du Canada (SMC) et rend possible la cueillette automatisée des produits et données météorologiques du SMC. Une grande diversité de données s’y retrouvent, tels les avertissements météo, les prévisions publiques en XML, les données brutes de prévision, les observations météorologiques et bien davantage. Le Datamart du SMC jouit d’une grande popularité avec plus de 12 millions d’accès quotidiennement.
Les services web géospatiaux GeoMet permettent au public d’intégrer dans leurs outils SIG, cartes interactives ou appareil mobile, les données brutes de modèles de prévision numérique du temps et de la mosaïque nord-américaine des radars météo par le biais de deux standards de l’Open Geospatial Consortium : le WMS et le KML. Qu’il s’agisse par exemple de la pluie observée par les radar météo ou les prévisions de précipitation de neige ou une animation des prévisions de températures , les utilisations de ces données sont nombreuses et d’une grande valeur pour de nombreux décideurs.
40 min presentation to the Map Curators Workshop 2013 held in Hothorpe Hall. The presentation looks at how EDINA has used the knowledge fro running web based mapping services for 15 years to develop a new mobile mapping app. The focus is on "knowing your users" and ensuring that you fulfill their needs.
apidays LIVE Helsinki & North 2022_Apps without APIsapidays
apidays LIVE Helsinki & North: API Ecosystems - Connecting Physical and Digital
March 16 & 17, 2022
Apps without APIs - Leveraging the stack that we all use, but never think about
Sampo Savolainen, CTO at Spatineo
State of GeoServer provides an update on our community and reviews the new and noteworthy features for the Project. The community keeps an aggressive six month release cycle with GeoServer 2.8 and 2.9 being released this year.
Each releases bring together exciting new features. This year a lot of work has been done on the user interface, clustering, security and compatibility with the latest Java platform. We will also take a look at community research into vector tiles, multi-resolution raster support and more.
Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what these projects can do for you, this talk is for you.
Similar to Adopting OGC Standards in São Paulo Flood Alert System - FOSS4G 2014 - PDX (20)
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
“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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
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!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Full-RAG: A modern architecture for hyper-personalization
Adopting OGC Standards in São Paulo Flood Alert System - FOSS4G 2014 - PDX
1. Case Report : Adopting OGC
Standards in São Paulo Flood
Alert System
Ivan Francolin Martinez
ivanfm@{saisp.br,ifsp.edu.br}
Engineer
Cristiane Pires Andrioli
cristiane@saisp.br
Meteorologist
Flavio Conde
conde@saisp.br
Engineer
2. São Paulo, SP, Brazil
Region Citizens Estimate
São Paulo State 44,0 248,222
São Paulo Metropolitan Area 20,8 8,500
São Paulo City 11,8 1,521
São Paulo State
IBGE 2014 (millions)
São Paulo City
Area (Km²)
Metropolitan Area
9. São Paulo Flood Alert System - SAISP
Telemetrical Stations: 322 (9 Inmarsat, 313 GPRS), Solar Powered
260 million records since 1991, 42 million records in 2013
13. Main Users
● São Paulo Emergency Management Center (CGE)
● Water and Energy Users
○ DAEE (state water and energy department)
○ SABESP (Water)
○ EMAE / AES Eletropaulo (Energy)
● Others
○ Civil Defense
○ Municipality
○ Civil Construction
14. CGE - São Paulo Emergency Center
http://www.cgesp.org
2013-01-08 20:48
15. Infrastructure
● Virtual Machines
○ VMWare ESXi
○ Amazon EC2 (backup)
● CENTOS
○ Varnish 3
○ Apache HTTP Server
● Java 7
○ Apache Tomcat 7
○ Geoserver 2.5
● IBM DB2 - Express C
○ XML and Geospatial Data
○ 260 million records
○ 47 GB
16. São Paulo Flood Alert System - SAISP
http://www.saisp.br
varnish httpd
tomcat
DB2
database
geoserver
only local users
have access to
geoserver requests
via varnish
WMS
WFS
All services run on virtual machines with redundancy.
17. What we use
● WMS / WFS (local and external)
● Geoserver / Geotools
○ Images and WFS
■ shapefiles, product data
○ ImageMaps (text/html output)
■ navigation in out application
■ data hints
18. What we use
CQL to split data in separate images
<wmsProductLayer description="CTR" productId="V2_PNOVA2_CTR-P030_" url="__WMS_GEO2__" public="1" latest="0"/>
<wmsProductLayer description="CTR - Passado" productId="V2_PNOVA2_CTR-P030_" url="__WMS_GEO2__" public="1"
latest="0">
<wmsParameter name="cql_filter">type = 'past'</wmsParameter>
</wmsProductLayer>
<wmsProductLayer description="CTR - Atual" productId="V2_PNOVA2_CTR-P030_" url="__WMS_GEO2__" public="1" latest="
0">
<wmsParameter name="cql_filter">type = 'current'</wmsParameter>
</wmsProductLayer>
<wmsProductLayer description="CTR - Previsão - 10 em 10 minutos" productId="V2_PNOVA2_CTR-P030_" url="
__WMS_GEO2__" public="1" latest="0">
<wmsParameter name="cql_filter">type = 'forecast'</wmsParameter>
</wmsProductLayer>
<wmsProductLayer description="CTR - +30minutos" productId="V2_PNOVA2_CTR-P030_" url="__WMS_GEO2__" public="1"
latest="0">
<wmsParameter name="cql_filter">type = 'last_forecast'</wmsParameter>
</wmsProductLayer>
19. What we use
SLD and CSS for styling
<Name>Current</Name>
<Title>Blue Line</Title>
<ogc:Filter>
<ogc:PropertyIsEqualTo>
<ogc:PropertyName>type</ogc:PropertyName>
<ogc:Literal>current</ogc:Literal>
</ogc:PropertyIsEqualTo></ogc:Filter>
<LineSymbolizer>
<Stroke>
<CssParameter name="stroke">#0033CC</CssParameter>
<CssParameter name="stroke-width">1</CssParameter></Stroke></LineSymbolizer>
<PointSymbolizer>
<Graphic>
<ExternalGraphic>
<OnlineResource xlink:type="simple" xlink:href="http://www.saisp.br/estaticos/images/bola_azul.svg" />
<Format>image/svg+xml</Format></ExternalGraphic>
<Size>6</Size></Graphic>
</PointSymbolizer>
30. Geotools - Development
● Our Implementation
○ Database Datastore
■ interface to our catalog on database
○ File Datastore
■ direct support for reading Radar files
● Using JMapFrame for basic testing
○ http://docs.geotools.org/latest/userguide/unsupported/swing/jmapframe.html
● Place your jars in the directory
○ geoserver/webapps/geoserver/WEB-INF/lib
31. Geotools - Data conversion
● Using polygons instead of raster for better control and
quality in presentation
● Some RADAR products have multiple types of data
● Two solutions
○ schema with multiple fields
○ two schemas using different DataStores to read same file
● All our data in EPSG 4326, geotools converts when
necessary
32. Next Steps
● Telemetrical Data
○ Implement SOS interface;
○ Implement in a DataStore with TIME support.
● Offer direct WMS access to external users
● MultiDimension support using ImageMosaic