Lecture 1 - Introduction to Spatial Data Analysis
Lecture 2 - Spatial Patters and Data Generating Process
Lecture 3 - Spatial Data Structures
Lecture 4 - A short exercise: Land Use Land Cover Analysis
Lecture 5 - A general spatial data model
Lecture 6 - Spatial Statistics: measures of variation; spatial random function
Lecture 7 - Entropy - I
Lecture 8 - Entropy - II
Lecture 9 - Spatial Entropy - I
Lecture 10 - Spatial Entropy - II
Lecture 11 - Introduction to Spatial Aucorrelation
Lecture 12 - Spatial Autocorrelation Implications for Inference - II
Lecture 13 - Spatial Autocorrelation Implications for Inference - II
Lecture 14 - Spatial Autocorrelation Implications for Inference - 2-D Example
Lecture 15 - Spatial Autocorrelation Implications for Inference - Monte Carlo Simulations
Lecture 16 - Exploratory Spatial Data Analysis
Lecture 17 - Exploratory Spatial Data Analysis: Example of Groundwater Data
Lecture 18 - Stationarity in Spatial Statistics
Lecture 19 - Stationarity in Spatial Statistics: Example of Groundwater Data
Lecture 20 - Spatial Dependence
Lecture 21 - Variogram and Semivariogram
Lecture 22 - Covariogram and Correlogram
Lecture 23 - The experimental variogram
Lecture 24 - The experimental variogram on an irregular lattice
Lecture 25 - Variogram estimation
Lecture 26 - Variogram model fitting
Lecture 27 - Variogram model fitting
Lecture 28 - Non-stationary spatial domains
Lecture 29 - Spatial interpolation and Kriging
Lecture 30 - Spatial Regression Analysis
Lecture 31 - Spatial Regression Analysis
Lecture 32 - Spatial dependence in a regression model
Lecture 33 - Spatial dependence in a regression model
Lecture 34 - Generalized least squares estimation in the presence of spatial dependence
Lecture 35 - Spatial weights matrix
Lecture 36 - Causal Inference in spatial regression models
Lecture 37 - Endogenous effects in a spatial regression model
Lecture 38 - Spatially lagged variables in regression models
Lecture 39 - Spatially lagged variables in regression models
Lecture 40 - LISA statistics
Lecture 41 - Lagrange Multiplier Test for Spatial Regresison Model
Lecture 42 - Exploratory Analysis of Groundwater Level Data in ArcGIS Pro
Lecture 43 - Raster data in ArcGIS Pro
Lecture 44 - Computing experimental variograms in R - I
Lecture 45 - Computing experimental variograms in R - II
Lecture 46 - Fitting model variograms in R
Lecture 47 - Kriging and cross-validation in R
Lecture 48 - Spatial linear regression in R - I
Lecture 49 - Spatial linear regression in R - II
