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- 1. Richard Heimann © 2011 Human Terrain Analysis GIS270 George Mason University ! Richard Heimann
- 2. Richard Heimann © 2011 This three day elective course will increase awareness of Human Terrain Analysis (HTA) and the spatially referenced social layer - focusing on both methods of exploring and modeling such data. Additionally, students will gain an appreciation for the complexities of data manipulation, analysis, and mapping of diﬀerent scales of space, time, and complexity. The course will further promote critical thinking about how diﬀerent forms of spatial data can be integrated in research and human inquiry. Lastly, this course provides an introduction into the tools available for exploratory analyses of spatially referenced social data; the variety of models for representing spatial variation; and learning to strike a balance between theoretical approaches to spatial data and how to practically solve complex human problems. Course objectives: 1) Increase awareness of HTA & Computational Spatial Social Science. 2) To gain a better understanding of the potentials and pitfalls of using geodemographic data. 3) To enhance spatial thinking as applied to demographic, social, and behavioral research. 4) To develop skills and understanding of exploratory spatial data analysis and spatial econometric approaches (testing for the presence of spatial dependence and estimating models with spatial dependence and spatial heterogeneity) and Geographically Weighted Regression. 5) To develop understanding of central issues in geographic science (modiﬁed areal unit problem, complete spatial randomness, spatial autocorrelation among other topics). Course Outline: GIS270
- 3. Richard Heimann © 2011 Methods Data Theory -Visual Data Analysis -Spatial Analysis -ESDA -Spatial Analysis -Geographic Knowledge Discovery -Spatial Econometrics -Spatial Modeling -First Law of Geography -Spatial Heterogeneity -Spatially Explicit Theory Traditional Social Data (e.g. Census), Inference and Inferential Pitfalls (Ecological Fallacy, Atomistic Fallacy), Pattern Paradoxes (e.g. MAUP), etc. Course Outline: GIS270
- 4. Richard Heimann © 2011 I have not designed this as a GIS course ! …but throughout the class you will have plenty of opportunity to learn software, both ArcGIS & GeoDa©. Geoda© is a program that facilitates exploratory spatial data analysis, spatial autocorrelation, and spatial modeling, speciﬁcally spatial error & spatial lag models. Expectations: GIS270
- 5. Richard Heimann © 2011 GIS270: Common Problems in GIS
- 6. Richard Heimann © 2011 Why (or even what) GeoDa? Open GeoDa is a cross-platform, open source version. ! PySAL is the underlying open source library with extended functionality. ! R is open source domain speciﬁc statistical language. Free and Open Source: you can think of it as “free” as in “free speech,” and “free” as in “free beer.” !
- 7. Richard Heimann © 2011 GeoDa with more than 89,026 downloads (May 2013) Why (or even what) GeoDa?
- 8. Richard Heimann © 2011 Why (or even what) GeoDa? Not a GIS, but… o Complements all major GIS packages o Windows based, so familiar interface and shortcut buttons o Relies on same programming/math as the R package spdep o Incorporates more sophisticated statistical routines into spatial analysis than a GIS o Developed by Dr Luc Anselin, Arizona State U. o FREE!
- 9. Richard Heimann © 2011 What can I do in GeoDa? o Generate descriptive statistics for your data o Conduct exploratory data analysis o Powerful geo-visualisation o Dynamic linking o Basic [Advanced] thematic maps o Tests for spatial autocorrelation i.e. Moran’s I, LISA o Generate spatial weights matrices o Run basic OLS and spatial regression models Why (or even what) GeoDa?
- 10. Richard Heimann © 2011 Training
- 11. Richard Heimann © 2011 Education
- 12. Richard Heimann © 2011 What is a human terrain analyst?
- 13. Richard Heimann © 2011 What is a human terrain analyst?
- 14. Richard Heimann © 2011 Lab 1; Installing GeoDa. ! Human Terrain Analysis: Conceptual Framework & brief history (Lecture) Introduction to GeoDa (Lab: GeoDa Workbook (Chp. 1 – 3)) ! The Laws of the Spatial Social Sciences (Lecture) Spatial Thinking in Social Science (Lab 1: Spatial Thinking in the Social Sciences) ! What is ‘Special about Spatial Social Data’ & Potentials and Pitfalls of Social Spatial Data (Lecture) Online Mapping for Spatial Demography (Lab: 2 Downloading Census data from FactFinder) Day 1 at a glance…
- 15. Richard Heimann © 2011 Exploratory Spatial Data Analysis (ESDA) I (Lecture) Introduction to ESDA using GeoDa I (Lab: Workbook (Chp. 7 – 10)) ! Deﬁning & Operationalizing Neighborhoods and variables (Lecture) Operationalizing Neighborhoods & Spatial Weights (Lab: Workbook (Chp 15-17)) ! Exploratory Spatial Data Analysis (ESDA) II (Lecture) Global SA using GeoDa I (Lab: Workbook (Chp. 18)) ! Local & Bivariate Indicators of Spatial Association (LISA) (Lecture) Local SA using GeoDa I (Lab: Workbook (Chp. 19 -21)) Day 2 at a glance…
- 16. Richard Heimann © 2011 ! Regression Basics (OLS) & LAB ! Spatial Regression Modeling (Spatial Error & Lag Models) (Lecture) Spatial Regression Modeling using GeoDa I (Lab: Workbook (Chp. 22 - 25)) ! Geographically Weighted Regression & GWR Lab in ArcGIS Desktop Day 3 at a glance…
- 17. Richard Heimann © 2011 GIS 270: QUESTIONS?!
- 18. Richard Heimann © 2011 GIS 270: ME! Name: Richard Heimann, Washington DC ! Background: Geography, GIS, Statistics, Data Science & Big Data ! L-3 NSS Fellow and Chief Data Scientist, EMC Certiﬁed Data Scientist, Instructor of GES673 & (Formerly) GES 659, Instructor of Human Terrain Analysis at George Mason University, most recently supported DARPA, Human Terrain Systems and the Pentagon and now DHS. Author of Social Media Mining in R, Selection Committee Member AAAS Big Data & Analytics Fellowship Program, and Council Member for Big Data WashingtonExecs. ! Experience w/ Spatial Analysis: Extensive! ! Recently watched movie or book read… Troll 2
- 19. Richard Heimann © 2011 Name and where you live: ! Background: ??? ! Experience w/ Human Terrain Analysis ! Expectations… ! Recently watched movie or book read… GIS 270: Introductions
- 20. Richard Heimann © 2011 Install Geoda: https://geodacenter.asu.edu/software/downloads GES 673: Lab 1

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