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157 Pages

### Lecture 5

Course: GEO 6938, Summer 2011
School: University of Florida
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Word Count: 8756

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Methods Defining Nearest-Neighbor &quot;connectivity&quot; between points Point data can be used in various ways to measure the degree to which the point pattern exhibits spatial autocorrelation. But first, care must be taken in describing the nature of connectivity or the degree to which any two points are likely to be defined as &quot;connected&quot; the extent to which they might be dependent...

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University of Florida - GEO - 6938
Analysis of Pattern Measuresat the Local/Regional Scale9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20.Local Moran's I The Score Statistic Also Getis G-statistic Tango's CF (which we will review later) 2 Cumulative test Maximum 2 test Local Quadrat Test
University of Florida - GEO - 6938
Identification of Local Clusters for Count Data: A Model-Based Moran's I TestTonglin Zhang and Ge LinPurdue University and West Virginia University February 14, 2007Department of Statistics, Purdue University, 250 North University Street,West Lafayette
University of Florida - GEO - 6938
Chapter 4 Modelling Counts - The Poisson and Negative Binomial RegressionIn this chapter, we discuss methods that model counts. In a longitudinal setting, these counts typically result from the collapsing repeated binary events on subjects measured over
University of Florida - GEO - 6938
Notes on the Negative Binomial DistributionJohn D. Cook October 28, 2009Abstract These notes give several properties of the negative binomial distribution. 1. Parameterizations 2. The connection between the negative binomial distribution and the binomia
University of Florida - GEO - 6938
On Model Fitting Procedures for Inhomogeneous Neyman-Scott ProcessesYongtao GuanJuly 31, 2006ABSTRACTIn this paper we study computationally efficient procedures to estimate the second-order parameters for a class of inhomogeneous Neyman-Scott processe
University of Florida - GEO - 6938
Spatial AutocorrelationGeography 683 - Introduction to Geographic AnalysisSpatial AutocorrelationGuoxiang Ding Department of Geography1155 Derby Hall Phone: 292-2704 Email: ding.45@osu.edu First law of geography: &quot;everything is related to everything
University of Florida - GEO - 6938
Overdispersion and Poisson RegressionRichard Berk John MacDonald Department of Statistics Department of Criminology University of Pennsylvania November 19, 2007Abstract This article discusses the use of regression models for count data. A claim is often
University of Florida - GEO - 6938
Spatial AutocorrelationMoran's I Geary's C Arthur J. Lembo, Jr. Salisbury UniversitySpatial Autocorrelation First law of geography: &quot;everything is related to everything else, but near things are more related than distant things&quot; Waldo Tobler Many geog
University of Florida - GEO - 6938
Analysing spatial point patterns in RAdrian Baddeley CSIRO and University of Western Australia Adrian.Baddeley@csiro.au adrian@maths.uwa.edu.au Workshop Notes Version 3 October 2008 Copyright c CSIRO 2008Abstract This is a detailed set of notes for a wo
University of Florida - GEO - 6938
136Poisson Regression Analysis13. Poisson Regression AnalysisWe have so far considered situations where the outcome variable is numeric and Normally distributed, or binary. In clinical work one often encounters situations where the outcome variable is
University of Florida - GEO - 6938
Parametric Test Quadrat AnalysisEquations taken from Rogerson, 2001.i=m i =1s2 = (xs2 xi- x )2m -1 m -1 (VMR - 1) z= 2 m is the number of quadrats, x is the mean of the number of points per quadrat, s2 is the variance of the number of points per
University of Florida - GEO - 6938
AN INTRODUCTION TO QUADRAT ANALYSISR.W.ThomasISSN 0306-6142ISBN 0 902246 66 6 1977 R.W. ThomasCONCEPTS AND TECHNIQUES IN MODERN GEOGRAPHY No. 12CATMOG(Concepts and Techniques in Modern Geography) CATMOG has been created to fill a teaching need in th
University of Florida - GEO - 6938
Rate Transformations and SmoothingLuc Anselin Nancy Lozano Julia KoschinskySpatial Analysis Laboratory Department of Geography University of Illinois, Urbana-Champaign Urbana, IL 61801 http:/sal.uiuc.edu/Revised Version, January 31, 2006Copyright c 20
University of Florida - GEO - 6938
Change Detection Thresholds: Alternative Statistical Approaches to Detecting Temporal Change in Spatial PatternsPeter A. Rogerson Daikwon Han Ikuho Yamada Department of Geography National Center for Geographic Information and Analysis University at Buffa
University of Florida - GEO - 6938
The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report: Document Title: Author(s): Document No.: Date Received: Award Number: Crime Analysis Geographic Information System Services: A
University of Florida - GEO - 6938
Spatial AutocorrelationMorans I Gearys C Arthur J. Lembo, Jr. Salisbury UniversitySpatial Autocorrelation First law of geography: everything is related to everything else, but near things are more related than distant things Waldo Tobler Many geograph
University of Florida - GEO - 6938
SaTScan User GuideTMfor version 8.0By Martin Kulldorff February, 2009 http:/www.satscan.org/ContentsIntroduction . 4 The SaTScan Software . 4 Download and Installation . 5 Test Run . 5 Sample Data Sets. 5 Statistical Methodology.
University of Florida - GEO - 6938
Further Methods for Point Pattern AnalysisBailey and Gatrell Chapter 4Variations in Populationn Certain types of events will exhibit clustering due to heterogeneity in the underlying distribution e.g disease cases or crimes will tend to cluster where t
University of Florida - GEO - 6938
Non-technical Overview of Geospatial Statistical MethodsGIS/Mapping and Census Data Second Annual Census Workshop Series Workshop 3: Spatial Statistics, Spatial Research &amp; Confidential Census DataNew York Census Research Data Center (CRDC) Baruch Colleg
University of Florida - GEO - 6938
Package `spatstat'December 21, 2011Version 1.25-1 Date 2011-12-21 Title Spatial Point Pattern analysis, model-fitting, simulation, tests Author Adrian Baddeley &lt;Adrian.Baddeley@csiro.au&gt; and Rolf Turner &lt;r.turner@auckland.ac.nz&gt; with substantial contrib
University of Florida - GEO - 6938
Andrei Rogers and Norbert G. GomarStatistical inference in Quadrat AnalysisThe growing recognition of the need for establishing a systematic and quantitative means for describing and analyzing, the spatial dispersion of activities in urban areas has gen
University of Florida - GEO - 6938
Biometrical Journal 50 (2008) 1, 4357 DOI: 10.1002/bimj.20061033943Parameter Estimation and Model Selection for Neyman-Scott Point ProcessesUshio Tanaka1, Yosihiko Ogata*, 1, 2, and Dietrich Stoyan31 2 3The Graduate University for Advanced Studies, M
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Review of Matrix AlgebraMatrices A matrix is a rectangular or square array of values arranged in rows and columns. An m n matrix A, has m rows and n columns, and has a general form of a11 a = 21 . am1 a12 a22 . am 2 . a1n . a2 n . . . amn mn mn1Exa
University of Florida - GEO - 4167
University of Florida - GEO - 4167
Geographically Weighted RegressionA Tutorial on using GWR in ArcGIS 9.3Martin Charlton A Stewart FotheringhamNational Centre for Geocomputation National University of Ireland Maynooth Maynooth, County Kildare, Ireland http:/ncg.nuim.ieThe authors grat
University of Florida - GEO - 4167
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University of Florida - GEO - 4167
Lab#1, Spring 2012 (25 points) GEO 4167/GEO 6161 Intermediate Quantitative Methods (Fik) Name: _ Score: _ Instructions: Complete this lab to the best of your abilities. Attach your work sheets, relevant computer output, results, and write-up to this cover
University of Florida - GEO - 4167
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University of Florida - GEO - 4167
Board of the Foundation of the Scandinavian Journal of Statistics 2004. Published by Blackwell Publishing Ltd, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA Vol 31: 515534, 2004Functional Coefficient Regression Mode
University of Florida - GEO - 4167
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University of Florida - GEO - 4167
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University of Florida - GEO - 4167
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University of Florida - GEO - 4167
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University of Florida - GEO - 4167
Recall our recent Reading Assignments. Read and review: (a) the technical appendix in your textbook on Matrix approach to LS regression. Basic Econometrics by D. Gujarati, 2007, 4th edition. and/or (b) the posted Matrix Algebra review and the Matrix Appro
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University of Florida - AST - 1002
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