Cost Distance Analysis
Cost distance analysis calculates the least accumulative cost of traveling from every cell in a raster to one or more source locations, accounting for barriers and varying friction across the landscape. It is widely used for habitat connectivity modeling, accessibility studies, and corridor planning.
Cost distance analysis is a raster-based GISGISGeographic Information Systems (GIS) enable users to analyze and visualize spatial data to uncover patterns, relation... technique that computes the cumulative cost of movement from source locations to every other cell in a study area. Unlike simple Euclidean distanceEuclidean DistanceEuclidean distance is the straight-line distance between two points in a plane, computed using the Pythagorean theore..., cost distance accounts for spatially variable friction or impedance, such as terrain steepness, land cover type, road presence, or any factor that makes movement easier or harder. The result is a cost distance surface where each cell value represents the minimum accumulated cost to reach the nearest source.
How It Works
The analysis requires two inputs: a set of source locations and a cost (friction) surface where each cell value represents the cost of traversing that cell. An algorithm similar to Dijkstra's shortest path propagates outward from source cells, accumulating cost along the least expensive paths. The output includes a cost distance raster (accumulated cost to nearest source) and optionally a cost backlink raster (direction of the least-cost path back to the source), which enables tracing the optimal route from any cell to the nearest source.
Applications
Wildlife biologists use cost distance to model habitat connectivity and identify movement corridors for species, assigning high costs to inhospitable land cover and low costs to preferred habitat. Transportation planners model accessibility to facilities, incorporating road networks and terrain. Emergency managers calculate response times across landscapes with varying impedance. Conservation planners identify the least-cost corridors between protected areas. Urban planners assess access equity by computing cost distance from underserved communities to services.
Advantages and Limitations
Cost distance analysis captures the real-world complexity of movement across heterogeneous landscapes far more accurately than Euclidean distanceEuclidean DistanceEuclidean distance is the straight-line distance between two points in a plane, computed using the Pythagorean theore.... However, it requires careful calibration of the cost surface, and results are highly sensitive to the friction values assigned to each land cover or terrain class.
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