Techniques of Spatial Analysis
Techniques of Spatial Analysis Geog 2015
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This 2 page Class Notes was uploaded by Ivana Szwejkowski on Monday September 26, 2016. The Class Notes belongs to Geog 2015 at George Washington University taught by Qin Yu in Fall 2016. Since its upload, it has received 5 views. For similar materials see Techniques of Spacial Analysis in Geography at George Washington University.
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Date Created: 09/26/16
Spatial Analysis week 4 Locational Quotient- how is data distributed across an area? Compares local concentration to regional concentration Coefficient of Localization- expresses the extent or degree of localization on a scale of zero to one Gini Coefficient- global measure, measures dissimilarity or geographic association, Maximum difference in the cumulative % of the two distribution, measuring the area between 2 curves. Note: same number as coefficient of localization except is a percentage so is 100 times as large Problems: Sampling distribution is unknown LQ scales around unity (below norm; 0-1, above norm; 1-infinity) Boundary problem Processes in Geography: Deterministic Probabilistic: random and stochastic Types of Random Variables - Discrete - Continuous Classical Probability P(A) =n/m n- number of outcomes in event A m- number of outcomes in sample space Empirical Probability Basic probability concepts - Probability of all elementary outcomes is 1 Multiplication Rule- Used to find the joint probability of two independent events P(AorB) overlap Probability of A given B; dependent of each other ; P(A)xP(B)/ P(AlB) Addition rule, Probability that card is a King or red. 9/22 Probability Distributions Uniform Binomial Geographic Uniform Distribution: Truly uniformly distributed geographic phenomena are somewhat rare We often encounter the situation of not knowing how something is distributed until we sample it. Binomial Distribution: probability of the repetition of events when there are only two possible outcomes. - Bernoulli Trials
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