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Cost distance analysis. In spatial analysis and geographic information systems, cost distance analysis or cost path analysis is a method for determining one or more optimal routes of travel through unconstrained (two-dimensional) space. [1] The optimal solution is that which minimizes the total cost of the route, based on a field of cost ...
The average distance to the facility and the average travel cost to the facility from each zone are calculated. The visit rate from each zone is calculated. (i.e.) Visit rate: The number of visitors from a given zone/The population of that zone The visit rate is regressed against travel cost in order to create a visit rate curve.
In mathematics, the Wasserstein distance or Kantorovich – Rubinstein metric is a distance function defined between probability distributions on a given metric space . It is named after Leonid Vaseršteĭn . Intuitively, if each distribution is viewed as a unit amount of earth (soil) piled on , the metric is the minimum "cost" of turning one ...
Earth mover's distance. In computer science, the earth mover's distance ( EMD) [1] is a measure of dissimilarity between two frequency distributions, densities, or measures, over a metric space D . Informally, if the distributions are interpreted as two different ways of piling up earth (dirt) over D, the EMD captures the minimum cost of ...
Shortest path problem. In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. The problem of finding the shortest path between two intersections on a road map may be modeled as a special case of the shortest ...
MapQuest. Screenshot of MapQuest in use on a web browser. MapQuest (stylized as mapquest) is an American free online web mapping service. It was launched in 1996 as the first commercial web mapping service. [1] MapQuest vies for market share with competitors such as Apple Maps, Here and Google Maps.
Inverse distance weighting ( IDW) is a type of deterministic method for multivariate interpolation with a known scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points. This method can also be used to create spatial weights matrices in spatial ...
Distance correlation. In statistics and in probability theory, distance correlation or distance covariance is a measure of dependence between two paired random vectors of arbitrary, not necessarily equal, dimension. The population distance correlation coefficient is zero if and only if the random vectors are independent.
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