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Spatial Analysis week 7

by: Ivana Szwejkowski

Spatial Analysis week 7 Geog 2015

Ivana Szwejkowski
GPA 3.4

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About this Document

These notes cover Normal Distribution probabilities.
Techniques of Spacial Analysis
Qin Yu
Class Notes
Statistics, geospatial information systems
25 ?




Popular in Techniques of Spacial Analysis

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This 2 page Class Notes was uploaded by Ivana Szwejkowski on Monday October 10, 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 3 views. For similar materials see Techniques of Spacial Analysis in Geography at George Washington University.


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Date Created: 10/10/16
Spatial Analysis Week 7 Normal Probability Distribution  Use table of normal values, data must be standardized Standard-Normal Transformation  Transformation into standard-normal form: aka Z-score transformation (Standard-Normal)  Z= (x-u)/o  Z is the z score deviate; x is the value to be standardized; u is the mean; o is the standard deviation.  Converts absolute values to standard deviations Transformation: P(x)= (1/squrt(2pie)) x e^((-z^2)/2) Standard Normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1.  (Curve peaks and values densely distributed around 0, tails at (+-3)  (1-p^2) 3-step approach  Calculate the standard score Z; need to know the mean and variance  Go to table and find p  Go back and evaluate the situation Sampling procedures and methods - Probability vs. subjective sampling methods - Spatial Sampling Sampling Procedure 1. Define Target population and area 2. Designate the sampled population and sample area from sampling frame 3. Select the samling design 4. Design research and operation plan 5. Pretest 6. Survey Sampling - Subjective Sampling; not random, unequal chance of being included in the sample - Probability Sampling; each element of the population has a known probability of being selected Types of Sampling - Simple Random design - Systematic Random Design - Stratified Random Design


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