EMBEDEARTH / SEARCH API
Wildlife Observation Search API
Search species observations by habitat, season, protected area, water, elevation, and nearby human activity.
Wildlife Observations Search API Built for Geographic Queries
Use EDK as a wildlife observation API for radius search, bounding boxes, polygons, viewports, and named places. Return coordinates, geometry, metadata, and map-ready results in one response. Developers can search wildlife observations across a neighborhood or an entire region without maintaining a separate geospatial index.
Search Wildlife Observations Across Time, Not Just Space
Filter wildlife observations by date or period, compare recent activity with historical patterns, and aggregate events into time windows. Temporal search is useful for monitoring change, identifying recurring hot spots, and separating a one-off event from a persistent geographic pattern.
Work with Real Wildlife Observations Geometry and Boundaries
Many wildlife observations are areas or networks, not points. Preserve polygons, lines, extents, and boundaries so applications can test containment, overlap, area, adjacency, and distance correctly. species occurrence data becomes far more useful when the underlying geometry can be computed against instead of reduced to a centroid.
Build a Wildlife Observations Map from Live Geographic Queries
Render wildlife observations as points, lines, polygons, clusters, or density layers depending on the source geometry. The map can re-query the visible bounds as users pan and zoom, then fetch nearby habitats or protected areas on selection. Search state and map state stay connected.
Compute Observation Density, Habitat Overlap and Seasonal Patterns
Use EDK Compute for observation density, habitat overlap and seasonal patterns. Run nearest, distance, count-within, buffer, containment, intersection, density, or spatial joins directly against wildlife observations. Return a score, geometry, ranked list, or map layer without copying the dataset into a separate GIS database first.
What You Can Build with Wildlife Observations Data
Use species occurrence data for conservation, environmental consulting, land management, outdoor discovery, field research, and early project screening. Combine wildlife observations with habitats, protected areas, and water to build context that a simple location lookup cannot provide.
Give AI Agents Real Wildlife Observations Tools
Expose wildlife observation API, routing, map, and compute operations through MCP so an AI agent can perform geographic work instead of approximating it in language. The model can find wildlife observations, compare them with habitats and protected areas, calculate proximity or access, and return structured results.
Use Wildlife Observations from API, SDK, CLI, or MCP
Start with wildlife observation API and add only the EDK primitives the product needs: geocoding, maps, routing, vector tiles, spatial compute, or MCP. Teams can keep one wildlife observations model across browser experiences, backend services, pipelines, and AI workflows.
ONE GEOGRAPHIC WORKFLOW
Search, map, route, and compute with EDK.
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