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What is least cost distance?
Least cost path analysis is a distance analysis tool within GIS that uses the least cost path or the path between two locations that costs the least to those travelling along it to determine the most cost-effective route between a source and destination.
Why use least cost path?
Why find the least-cost path? The least-cost path travels from the destination to the source. This path is one cell wide, travels from the destination to the source, and is guaranteed to be the cheapest route relative to the cost units defined by the original cost raster that was input into the weighted-distance tool.
Which is the end of the least cost path?
This means that the source raster is the raster that defines where the least cost path is going and the source cell is the end of that path. In the source raster only the source cell has a value and all others are given a “no data” value.
Why is algorithm important in least cost path analysis?
An algorithm is an important component of least cost path analysis because accumulative cost between two cells can be calculated by adding the costs of connecting the two cells but least accumulative costs are challenging because there are many different ways to connect two cells and they do not have to be immediate neighbors (Chang).
How are lateral links included in the least cost path?
A lateral link is also included to connect a cell to one of its four nearest neighbors and a diagonal link connects the cell to the corner neighbors (Chang). The cost distance is the cost that it takes to travel from the node to these links and the least cost path is based on these costs.
Which is the best tool for path analysis?
Weighted distance analysis (the determination of the best path between the two campgrounds considering time and fuel usage based on terrain, etc.) is one tool that can be used to help weight the two factors (“Distance Analysis Using ArcGIS”).