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