BurkeyAcademy's GIS & Spatial Econometrics Project 2017 REBOOT!

October, 2017 We are back making Spatial Econometrics Videos!
August 2017: I am taking a little break before doing Spatial Econometrics in R. I am working on a little surprise for you all. In early October I'll finally add a few more videos in R. Thank you for your patience!
May 2017:  I am now "re-booting" my Spatial Data Analysis/GIS/ Spatial Econometrics Introduction Course!  We will be mostly using RStudio, Libreoffice, and QGIS.  All of these programs are free! I also make it as easy as I can for you to follow along by letting you download the same maps and data that I use in the videos. 
Please consider supporting this effort on Patreon- I don't charge for anything here, and work hard to use free software so that everyone can learn this information without any burden. However, doing this does create some burden for me (time, equipment, editing software, etc.)  If you find it valuable, please help me with some of my expenses. Even $1 is greatly appreciated! Buy me some snacks to keep me going! ☺

Introduction Video 0: About the Course: What we will be doing in this course (9 minutes)

Intro Video 1: Spatial Econometric Models: An overview of Spatial Econometrics and Spatial Econometric Models (A broad overview of the major spatial econometric models, Lag, Error, Kelejian-Prucha, Durbin, Manski, SLX) (Updated!)  Handout from Video  (35 minutes)

GIS Intro 1: Introduction to GIS with QGIS (Important basics for visualizing data, and creating spatial data sets for analysis)   Download data used (24 minutes)

GIS Intro 2: Creating a custom spatial Data Set (i.e., Putting your regression data into a map for analysis.) Download Data Used  (20 minutes)

Spatial Statistics 1: Spatial Correlation and Contiguity: Weights Matrices and Moran's I up Close using an Excel/LibreOffice Spreadsheet Spreadsheet Download  (26 minutes)

Spatial Stats 2: ESDA with GEODA! Exploratory Spatial Data Analysis without spatial weights. (using the dataset we created in GIS Intro 2. above) Download the Spatial Dataset we Created  (15 minutes)

Spatial Stats 3: Making Spatial Weights Part One:  Spatial Weights Matrices:  A primer on Spatial Weights Matrices, different options, ways to standardize them, and things you MUST understand before creating them.  Link to the Handout (21 minutes)

Spatial Stats 3: Making Spatial Weights Part Two: Make and Test them in GeoDa! We create many weights matrices and use them to compute spatial correlations, and see if different ones matter. You can save these to use in R, MatLab, Stata, python, ... GeoDa has many tools to make, save, and visualize your weights matrices!  Download the Spatial Dataset we Created    Download GeoDa (Win, Mac, Linux) (30 minutes)

Spatial Regression 1: Let's Do a Spatial Regression in GeoDa! (and why should shouldn't!) A good Start- but Don't Stop Here!) We discuss how to do a spatial regression in GeoDa, and the limitations it has- especially the limited number of models, and lack of calculating marginal effects. (31 minutes)

Using R for Spatial Data Analysis

R Spatial Data 1: Read in SHP with R, RStudio, and spdep We read our spatial data set (SHP file) into R, read a contiguity GAL file from GeoDa into R, also recreate the contiguity file in R and check it matches what GeoDa did, and run a Moran's I. (21 minutes)
Download R (free)       Download RStudio (free)

R Spatial Regression 1: The Four Simplest Models: We run OLS and tests for spatial dependence, then run the SLX (Spatially Lagged X), Lag Y (aka SAR), and Lag Error (Spatial Error) Models.

Coming soon:

Local versus Global Models, and Calculating Spatial Marginal Effects

Some details about Spatial Weights Matrices (Contiguity Files)

Spatial Econometrics Preliminary: For R and RStudio Noobs (Coming soon.)
Spatial Econometrics 1: Bring your Spatial Data Into R 
(Coming soon.)

Old Material is Below here.  Some good Stuff, but Mostly about MapWindow GIS.

Welcome!  This is where I will index all of the files and videos for the Spatial Econometrics Course. FILES are linked to the left (<----See Files).
I do not charge for anything here.  Also, where possible, all of the files and programs we use here will be free.  If we will use a program or data that is not free, I will explicitly point this out.  Otherwise, assume it is free! Click on the underlined link (like Intro Video 0:) to watch each video.
Old Download Links
Download the handout, US State/Territory Map and World Map from the Files Section on the left side (or click the links on the words)
Link to Download MapWindow (free GIS program)
Link to Download LibreOffice Portable (Free Office Suite)
Link To Download US Map Used (free SHP files of the US states)
Link to Download 2010 US County Map (free SHP of US 2010 Counties)
Link to Download World Map  (free World SHP file)
Link To Download 7Zip (Free compression program to open ZIP, 7z, and other compressed archives. The first .exe link should work for Windows Users)

Introduction and Overview:
Intro Video 0: About the project (Beginning information about my plans for the course and what I hope to cover))
Intro Video 1: An overview of Spatial Econometrics and Spatial Econometric Models (A broad overview of the major spatial econometric models, Lag, Error, Kelejian-Prucha, Durbin, Manski, SLX)

Basic GIS Tools: with MapWindow (Open Source, very similar to ArcGIS):
    Requirements: MapWindowLibreOffice, US MapWorld MapIncome Data (from Census Bureau)

GIS One: Basic GIS Tricks. (I called this "Video 2" in the video itself!)  How to open maps (.SHP files) by adding and manipulating layers, edit them to remove unwanted areas, and save the new edited shapefile as a new file. 

GIS Two: Data and Data Maps.  Adding External Data to an existing SHP file and making Chloropleth Maps. This is very tedious, and there are easier ways... but I teach you a couple of slow and dirty ways to get it done.
    GIS Two-B: Better Ways of Getting Data In.  I told you that there were some better ways of getting data in, so here are two of them. Sorting, and using the "Swift-D" plugin.

GIS Three: Map Labels and Layouts. Here we label the states, and work with print layouts to make a pretty map with proper legends, titles, etc.

GIS Four: Census Geographies. Here we learn about census tracts, block groups, blocks, counties, MSAs, ZCTAs, congressional districts  voting districts, school districts, lakes, metropolitan and micropolitan areas... Download link for free maps is below.

GIS Five: Importing and Mapping Points. Here we import a large number of points (population weighted block group centroids) from a CSV file, and add them to our map.

Here we take our shapefile of the world's countries and create center points, and export this data to a CSV file, and bring them into Excel.

GIS Seven: Matching Data and Mapping County Rural-Urban Continuum Codes.  Here we map all US Counties with their 2013 Rural Urban Continuum Codes, creating a new variable in our map to match on.

We create a mappable shape (e.g., hexagon, circle, ellipse), and then find the intersection of two shapefiles, first keeping the intersection, and then cut off the intersection. Lastly, we find the centroids.

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Download Links for Files, Programs, and Data
Note: I will be using MS Windows in the videos.  If you want to run something else, that is up to you!
Link to Download LibreOffice Portable (Free Office Suite)
Link To Download 7Zip (Free compression program to open ZIP, 7z, and other compressed archives. The first .exe link should work for Windows Users)

About this Course!

The Mathematics of Great Circle Distance Formulas

I give some details and visualizations about longitude, latitude, and how "Great Circle Distance" formulas work. However, here I show you some EASY mathematics for understanding how to calculate a great circle distance WITHOUT actually covering any of the particular formulas people commonly use. Instead, I show you the intuition behind how they will work. In the next videos I cover several common formulas that are used in practice.

Part 2: Real Great Circle Distance Formulas (coming soon)

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Subpages (1): Files