Search results for fuzzy
FiltersKML
20 datasets for “fuzzy”
- data.gov.ie
High Value Dataset - Locales
Tailte ÉireannUpdated 13 Nov 2026
Locales are polygon objects with fuzzy boundaries where the geographic entity is undefined or subject to interpretation Locales …
- HTML
- CSV
- GEOJSON
- KML
- ZIP
- TXT
- +3
- California Open Data
Vegetation - Modoc Plateau Applegate Areas - 2016 [ds2858]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment ratings for the final vegetation map at the Alliance level were 92.2 …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- Data.gov Catalog
Vegetation - Northern California Coast [ds3196]
California Department of Fish and WildlifeUpdated 6 Jul 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map (Alliance and Group levels) is 90.60 …
- HTML
- CSV
- GEOJSON
- KML
- ZIP
- ARCGIS GEOSERVICES REST API
- California Open Data
Vegetation - San Clemente Island [ds2962]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… Map accuracy was assessed to be 79 percent based on fuzzy methods and 61 percent with a traditional …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Northern California Coast [ds3196]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map (Alliance and Group levels) is 90.60 …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Sonoran Mojave Desert [ds3199]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment score for the final vegetation map is 89.4%. The vegetation map was …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Modoc Plateau - Devil's Garden, Adin Mountains, Jess Valley [ds2910]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… Overall fuzzy map accuracy was 81.6%, but individual vegetation types varied in their accuracy. Please see the …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Gaviota Coast Dangermond Preserve [ds2957]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map was not calculated, but much of the …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Doyle-Loyalton [ds3089]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map , at the Alliance, Group, and Macrogroup levels …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Pickel Meadows Wildlife Area [ds3197]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map , at the Alliance and Group levels, is …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Southern Sierra Nevada Foothills [ds3073]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map , at the Alliance and Group levels, is …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Modoc Warners [ds3195]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment score of the final vegetation map is 82.88%. Scores were then returned …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Chocolate Mountain Naval Areal Gunnery Range [ds3124]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map , at the Alliance and Group levels, is …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Delta Vegetation and Land Use - 2011 [ds292]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map , at the Alliance and Group levels, is …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Santa Clara and Santa Cruz Counties [ds3116]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map, map at the Alliance and Group levels …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- +4
- California Open Data
Vegetation - Los Penasquitos Lagoon [ds3034]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall Fuzzy Accuracy Assessment rating for the final vegetation map, at the association levels, is 89% percent.
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Molok Luyuk (Walker Ridge) [ds3159]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall accuracy assessment ratings for the final vegetation map was 89.7 percent overall fuzzy accuracy. More …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Colorado Desert [ds3198]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… The overall fuzzy logic Accuracy Assessment scores for both producer's and user's accuracy were 83.6 …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Alameda and Contra Costa County [ds3206]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… map class is 80.8%, with an overall ‘fuzzy’ accuracy of 93.1%. For a complete datasheet of …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML
- California Open Data
Vegetation - Marin County [ds2960]
California Department of Fish and WildlifeUpdated 11 Nov 2026
… Overall accuracy of the fine-scale vegetation map is 77%, with an overall 'fuzzy' accuracy of 81%. The …
- HTML
- ARCGIS GEOSERVICES REST API
- CSV
- ZIP
- GEOJSON
- KML