{
 "culture": "en-US",
 "name": "SolarRisk",
 "guid": "",
 "catalogPath": "",
 "snippet": "Areas of both high connectivity value and solar development risk developed for the Washington Habitat Connectivity Action Plan.",
 "description": "Areas of both high connectivity value and solar development risk developed for the Washington Habitat Connectivity Action Plan.To identify focal connectivity areas with a high threat of solar development we used The Solar Development Suitability Model for Columbia Plateau created by a mapping group for the Least-Conflict Solar Project managed by Washington State University Energy Program (https://www.energy.wsu.edu/RenewableEnergy/LeastConflictSolarSiting.aspx). The model was built using Environmental Evaluation Modeling System (EEMS) developed by the Conservation Biology Institute (CBI). EEMS is a flexible, data-driven framework that uses fuzzy logic to integrate various spatial data layers and assess complex environmental and planning questions. It allows for the combination of different types of data (e.g., ecological, infrastructure, land use) to produce a suitability map. The logic of The Solar Development Suitability Model aimed at depicting relative physical suitability for utility scale passive solar development. At a high level of this hierarchical model, high development suitability was defined by characteristics such as terrain (slope and aspect) and soil conditions, high proximity to existing road and transmission infrastructure, and to a lesser degree potential hazards (i.e., wildfire and earthquakes). The values of The Solar Development Suitability Model ranged from -1 (highly unsuitable) to 1 (highly suitable). We extracted only the positive values by setting all negative values to 0. We then multiplied this layer by the rescaled (0-1) connectivity value surface, representing areas with relatively high connectivity (portions of the original connectivity surface with values exceeding the 30th percentile). The resulting layer assigned higher values to areas of high connectivity threatened by solar development. We then used this final multiplication layer to compute a kernel density surface. Similarly to the residential development analyses, we applied a kernel cost-weighted distance of 79,200.",
 "summary": "Areas of both high connectivity value and solar development risk developed for the Washington Habitat Connectivity Action Plan.",
 "title": "SolarRisk",
 "tags": [
  "WAHCAP"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "ArcGIS Server",
  "Data",
  "Image Service",
  "Service"
 ],
 "thumbnail": "",
 "url": "https://geodataservices.wdfw.wa.gov/arcgis",
 "minScale": 3.35077150938044E7,
 "maxScale": 130889.512085173,
 "spatialReference": "NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet",
 "accessInformation": "This layer was developed for the 2025 Washington Habitat Connectivity Action Plan by the Washington Department of Fish and Wildlife (WDFW) and the Conservation Biology Institute (https://www.consbio.org/). WDFW modified the solar suitability layer that CBI created for the Least-Conflict Solar Siting project (https://www.energy.wsu.edu/RenewableEnergy/LeastConflictSolarSiting.aspx).",
 "licenseInfo": ""
}