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Spatial Analysis

by: Ivana Szwejkowski

Spatial Analysis Geog 2015

Ivana Szwejkowski
GPA 3.4

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About this Document

These notes cover how to analyze central tendency, variance, and data symmetry.
Techniques of Spacial Analysis
Qin Yu
Class Notes
Statistics, GIS
25 ?




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This 1 page Class Notes was uploaded by Ivana Szwejkowski on Friday September 9, 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 4 views. For similar materials see Techniques of Spacial Analysis in Geography at George Washington University.


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Date Created: 09/09/16
Spatial Analysis Week 2 Data Classification Methods -Classification Organizes, simplifies, and generalizes large amounts of information into effective or meaningful categories Conceptual strategy:  Logical Subdivision- USGS National Land Cover Types  Agglomeration- grouping of similar individual cases Describing Data with Numerical Measures  Numerical Measures can be created for both populations and samples  Parameter- population  Statistic- sample Measures:  Central Tendency- a measure along the horizontal axis of the data distribution that locates that center of the distribution (mean, median, mode)  Variability- a measure along the horizontal axis of the data distribution spread (Range, Inter-quartile range, mean deviation, Variance- the average of the squared deviations of the measurements about their mean, standard deviation- positive square root of variance)  Measure of Shape- skewness (asymmetry), positive skew vs. negative skew Sm= Side notes  The value of variance and standard deviation is always positive  The larger the value of s, the larger the variability Standard deviation to mean ratio CV= s/x Can also be expressed as percentage


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