NWAC: Northwest Avalanche Atlas and Avalanche Reporting Tool
In collaboration with the Northwest Avalanche Center (NWAC) and BC Adventure Guides, Integral GIS developed an ArcGIS Online Web App to view, search and report avalanche data in the Pacific Northwest region. BC Adventure Guides and other field researchers had compiled avalanche report data spanning over four decades in spreadsheets and wanted a simple way to view their information on a map, with the ability to overlay various spatial and data layers. Integral developed an interface for the users to be able to draw out ATES (Avalanche Terrain Expose Scale) polygons, using topological USGS and CalTopo basemaps as guides. These ATES polygons were then added as a feature layer to the Northwest Avalanche Atlas. The Web App includes a Geo Form, the Avalanche Reporting Tool, that allows users to fill out avalanche report data. Once submitted, the report is added as a point on the map and saved in the geodatabase as a record.
Miracle Mapper: Magnifying The Light of The World
Integral GIS worked together with a local philanthroper to help create an ArcGIS Online web application that allows users from around the globe to contribute their own personal stories of miracles. The application opens with a 3D globe for users to view the locations others have experienced their miracles. A user is given the ability use the Edit tool to add their own miracle point in a given location on the map. We formulated drop-down categories for various fields users may choose from when setting the attributes of the given miracle. All the data is stored in a geodatabase for easy access and organization.
Washington Redistricting Lenses Project
The League of Women Voter of Washington in conjunction with Politics of the Possible in Action reached out to Integral GIS to assist in the creation of a set of legal redistricting maps that represent the demographics and reflect the will of the people of Washington State. The Washington Redistricting Lenses Project was conceived with the goal of using demographic data and first principles to help us create maps that would balance desires of many disparate groups. We collected data from the most recent American Community Survey (ACS, 2017) and selected the categories that best described the lens we were illustrating. The project looked at five data lenses based off extensive community discussions: Race/Ethnicity, Household Income, Tribal Affiliations, Environment, and Industry Employment.