We offer a variety of GIS services to help you achieve your business goals. Our leadership team and associate staff members will work with you to ensure that your project is successful from the ground up. The information below provides some basic descriptions of our primary service offerings. For more information, contact us at sales at geospatialtraining.com.
Application Development & Programming
Geospatial Training Services develops user-friendly GIS web, mobile, and desktop applications that make sharing, collecting, and using information easier. Our products are user-friendly and don’t require users to have any GIS or database expertise.
We can build applications in the no-code ArcGIS Online environment or utilize Programming for heavier customization. Our developers are experienced with the latest development technologies including:
- ArcGIS Online
- Dojo, jQuery, Node, Angular, Bootstrap, Backbone
- .NET with ArcObjects
- Google Maps API, OpenLayers, Carto API
- HTML5 and CSS3
Real Time and Historical Wildfire Analysis Application
Using the Federal Wildland Fire Occurrence Database along with current wildfire activity information provided by Inciweb and drought information provided by the University of Nebraska, we developed an interactive web application for visualizing wildfire activity in the western United States.
The application includes a number of panels including a map of current wildfires and drought conditions, historical information by state for total acreage burned, number of wildfires, average wildfire size by state and decade, length of fire season, and acreage burned by federal agency.
We used the R programming language with Shiny to create this application.
City of Juneau, AK Parcel Viewer
We developed a parcel map viewing application for the City of Juneau, Alaska that allows internal and external users to view imagery, streets, parcel boundaries, property structures, and cell phone towers. In addition, the application includes functionality for measuring, printing, redlining, searching for properties, and generating a property mailing list based on spatial relationships.
The mailing list generator allows the end user to select a property type (parcel, condo, or manufactured home), buffer distance, and point of origin as input used to generate a mailing list and map.
Spatial and Geostatistical Analysis
Spatial statistics extends traditional statistics through the analysis of geographic data via techniques that describe the distribution of data (descriptive spatial statistics), analysis of spatial patterns of data (spatial pattern analysis), identification and measurement of spatial relationships (spatial regression), and the creation of surface layers through sampled data (spatial interpolation).
We use spatial analysis and geostatistical tools from ArcGIS Pro and ArcGIS Desktop (Spatial Statistics Toolbox, Spatial Analyst and Geostatistical Toolbox), R, Python, and others to perform analysis for natural resources, real estate, crime, health, and environmental applications.
Historical Analysis of Wildfire Patterns
Using the Federal Wildland Fire Occurrence Database, we used ArcGIS Pro and the R programming language to better visualize the change in wildfire activity from 1980 to 2016. Our analysis was limited to the Western United States including California, Arizona, New Mexico, Colorado, Utah, Nevada, Utah, Oregon, Washington, Idaho, Montana, and Wyoming. We were particularly interested in the surge of large wildland fires, categorized as fires that burn greater than 1,000 acres.
What we found is a dramatic increase in the number and size of wildfires throughout the Western United States. We also found an increase in the length of fire season throughout the area as well.
Analysis of Real Estate Activity in San Antonio
Implemented a data processing workflow for a real estate company that processes monthly residential home sales information and creates over 2000 reports on individual neighborhoods in the San Antonio metropolitan area. Each report contains tables, graphs, charts, and interactive maps.