In spatial analysis and geographic information systems, cost distance analysis or cost path analysis is a method for determining one or more optimal routes...

spatial analysis, such as Tobler's first law of geography, network routing, and cost distance analysis. To a large degree, friction of distance is the...

General topics Buffer analysis Cartography Complete spatial randomness Concepts and Techniques in Modern Geography Cost distance analysis Four traditions of...

Proximity analysis is a class of spatial analysis tools and algorithms that employ geographic distance as a central principle. Distance is fundamental...

tools have analyze distance in some form, such as buffers, Voronoi or Thiessen polygons, Cost distance analysis, and network analysis. It is difficult to...

travel cost method of economic valuation, travel cost analysis, or Clawson method is a revealed preference method of economic valuation used in cost–benefit...

on translation memory. The Levenshtein distance can also be computed between two longer strings, but the cost to compute it, which is roughly proportional...

minimum cost of building the smaller pile using dirt taken from the larger, where cost is defined as the amount of dirt moved multiplied by the distance over...

edit distances are defined as a parameterizable metric calculated with a specific set of allowed edit operations, and each operation is assigned a cost (possibly...

revenue=marginal cost) will lead to an increase in profit (Theory and Applications of Microeconomics, 2012). Average cost Break even analysis Cost Cost curve Cost-Volume-Profit...

transported and the total distance, but also the mass per single transport and the delivery time. Life cycle energy analysis (LCEA) is an approach in which...

spatial analysis on raster data sets. The following is an incomplete list of some of the more commonly used tools: GIS tools: Cost-distance analysis, buffer...

along the network, with optimal defined as minimizing some form of cost, such as distance, energy expenditure, or time. A common example is finding directions...

markets and in organizational economics, the transaction cost is some function of the distance between the supply and demand. Policing and enforcement...

minimum "cost" of turning one pile into the other, which is assumed to be the amount of earth that needs to be moved times the mean distance it has to...

mathematical analysis and geometry. The most familiar example of a metric space is 3-dimensional Euclidean space with its usual notion of distance. Other well-known...

hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies...

must be sold to break even over the lifetime of the project, such a cost analysis requires assumptions about the value of various non-financial costs...

Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data...

ROC analysis provides tools to select possibly optimal models and to discard suboptimal ones independently from (and prior to specifying) the cost context...

determination is large. The advantages of regression analysis are that it is simple and has a low computational cost. Variance-based methods are a class of probabilistic...

Damerau–Levenshtein distance (named after Frederick J. Damerau and Vladimir I. Levenshtein) is a string metric for measuring the edit distance between two sequences...

t-distributed stochastic neighbor embedding Factor analysis Discriminant analysis Dimensionality reduction Distance geometry Cayley–Menger determinant Sammon mapping...

it aims to find a path to the given goal node having the smallest cost (least distance travelled, shortest time, etc.). It does this by maintaining a tree...

Distance education, also known as distance learning, is the education of students who may not always be physically present at school, or where the learner...

no distance, cost, etc. If W is an n × n matrix containing the edge weights of a graph, then Wk (using this distance product) gives the distances between...

the distance. His example of a project with a strong time bias was the Alaska pipeline which essentially had to be done on time no matter the cost. After...

estimation, at consequently lower financial and/or human cost. The method of sequential analysis is first attributed to Abraham Wald with Jacob Wolfowitz...

others at the Lab who worked with spatial analysis. He conducted a number of experiments with the exponent of distance, deciding on something closer to the...

computing the graph edit distance between a pair of graphs typically transform the problem into one of finding the minimum cost edit path between the two...