Useful Links
1. Introduction to Environmental Statistics
2. Foundational Statistical Concepts
3. Environmental Data Collection and Study Design
4. Exploratory Data Analysis for Environmental Data
5. Modeling Environmental Data
6. Analysis of Temporally Correlated Data
7. Analysis of Spatially Correlated Data
8. Spatio-Temporal Statistics
9. Advanced Topics and Applications
10. Bayesian Methods in Environmental Science
11. Communication and Regulatory Statistics
12. Quality Assurance and Quality Control
13. Software and Computational Tools
  1. Statistics

Environmental Statistics

1. Introduction to Environmental Statistics
2. Foundational Statistical Concepts
3. Environmental Data Collection and Study Design
4. Exploratory Data Analysis for Environmental Data
5. Modeling Environmental Data
6. Analysis of Temporally Correlated Data
7. Analysis of Spatially Correlated Data
8. Spatio-Temporal Statistics
9. Advanced Topics and Applications
10. Bayesian Methods in Environmental Science
11. Communication and Regulatory Statistics
12. Quality Assurance and Quality Control
13. Software and Computational Tools
  1. Analysis of Spatially Correlated Data
    1. Fundamentals of Spatial Statistics
      1. Types of Spatial Data
        1. Geostatistical Data
          1. Lattice Data
            1. Point Pattern Data
            2. Spatial Autocorrelation
              1. Moran's I
                1. Geary's C
                  1. Interpretation and Applications
                2. Modeling Spatial Dependence
                  1. The Variogram and Covariogram
                    1. Empirical Variogram
                      1. Theoretical Variogram Models
                        1. Spherical Model
                          1. Exponential Model
                            1. Gaussian Model
                            2. Model Fitting
                            3. Anisotropy
                              1. Directional Dependence
                                1. Geometric Anisotropy
                                  1. Zonal Anisotropy
                                2. Spatial Prediction and Interpolation
                                  1. Kriging
                                    1. Simple Kriging
                                      1. Ordinary Kriging
                                        1. Universal Kriging
                                          1. Kriging Variance
                                            1. Cross-Validation
                                            2. Inverse Distance Weighting
                                              1. Algorithm
                                                1. Limitations
                                              2. Models for Areal Data
                                                1. Conditional Autoregressive Models
                                                  1. Model Structure
                                                    1. Parameter Estimation
                                                    2. Simultaneous Autoregressive Models
                                                      1. Model Structure
                                                        1. Parameter Estimation

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                                                    6. Analysis of Temporally Correlated Data

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                                                    8. Spatio-Temporal Statistics

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