Search results
Results From The WOW.Com Content Network
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 ...
Library of algorithms to aggregate areas into regions, where each region is geographically connected, while optimizing a predefined objective function. Python. BSD license. R -Analysis of Spatial Data. yes. Linux, MAC OS, Windows. Roger Bivand (maintainer) CRAN site for Analysis of Spatial Data, R-Forge site.
This was one of the first uses of map-based spatial analysis. Spatial analysis is any of the formal techniques which studies entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques using different analytic approaches, especially spatial statistics.
Distance matrix. In mathematics, computer science and especially graph theory, a distance matrix is a square matrix (two-dimensional array) containing the distances, taken pairwise, between the elements of a set. [1] Depending upon the application involved, the distance being used to define this matrix may or may not be a metric. If there are N ...
Contraction mapping. In mathematics, a contraction mapping, or contraction or contractor, on a metric space ( M , d) is a function f from M to itself, with the property that there is some real number such that for all x and y in M , The smallest such value of k is called the Lipschitz constant of f. Contractive maps are sometimes called ...
Distance is a key part of solving many geographic tasks, usually due to the friction of distance. Thus, a wide variety of analysis tools have analyze distance in some form, such as buffers, Voronoi or Thiessen polygons, Cost distance analysis, and network analysis. Data analysis
The Google Maps API was free for commercial use, provided that the site on which it is being used is publicly accessible and did not charge for access, and was not generating more than 25,000 map accesses a day. Sites that did not meet these requirements could purchase the Google Maps API for Business.
The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, Places API or Google Earth API.