• SHORT TITLE HERE
  • 1 INTRODUCTION
    • 1.1 Data Distributions
      • 1.1.1 Types of Distribution
    • 1.2 Hands-on Exercises
  • 2 HYPOTHESIS TESTING
    • 2.1 Introduction
    • 2.2 Parametric tests
      • 2.2.1 Parametric single-sample test
      • 2.2.2 Parametric two-sample test
    • 2.3 Nonparametric test
      • 2.3.1 Nonparametric One-Sample Wilcoxon Signed-Rank Test
      • 2.3.2 Nonparametric two-sample paired sign test and paired Wilcoxon Signed Rank Test
    • 2.4 One-Way ANOVA
      • 2.4.1 Parametric One-Way ANOVA
      • 2.4.2 Nonparametric One-Way ANOVA (Kruskal-Wallis Test)
    • 2.5 Hands-on Exercise
  • 3 TEST FOR AUTOCORRELATION AND TEMPORAL EFFECTS
    • 3.1 Test for Autocorrelation Using the Sample Autocorrelation Function
    • 3.2 An Example on Site-Wide Temporal Effects
    • 3.3 TESTS FOR TREND
      • 3.3.1 Parametric Test for Trends - Simple Linear Regression
      • 3.3.2 Nonparametric Test for Trends
    • 3.4 Hands-On Exercises
  • 4 CORRELATION, COVARIANCE, GEOSTATISTICS
    • 4.1 INTRODUCTION
    • 4.2 CORRELATION AND COVARIANCE
      • 4.2.1 Pearson’s Correlation Coefficient
      • 4.2.2 Spearman’s and Kendall’s Correlaton Coefficients
    • 4.3 COVARIANCE
    • 4.4 GEOSTATISTICS
      • 4.4.1 Variogram Modelling
      • 4.4.2 Kriging
  • 5 LINEAR REGRESSION ANALYSIS
    • 5.1 Simple Linear Regression Analysis
      • 5.1.1 Empirical model-building-regression analysis
      • 5.1.2 Interpreting the regression results
      • 5.1.3 R-squared and Adjusted R-Squared
    • 5.2 Data transformation versus generalized linear model
      • 5.2.1 Data Transformation Approach (Log Transformation)
      • 5.2.2 Generalized Linear Model(GLM)
    • 5.3 Multiple Linear Regression (MLR) model
    • 5.4 Hands-on Exercise
  • 6 CONVENTIONAL AND PROBABILISTIC RISK ASSESSMENT
    • 6.1 Introduction
    • 6.2 Conventional or Point Risk Estimation
    • 6.3 Probabilistic Risk Assessment Using Monte Carlo Simulation
    • 6.4 Practical Exercise
    • 6.5 Hands-On Exercise
  • 7 Datasets
  • Published with bookdown

Ecological Analysis

Chapter 7 Datasets

  • forest_health - https://www.kaggle.com/code/furkan09/forest-health-ecological-diversity-analysis/input
  • africa soil property - https://www.kaggle.com/competitions/afsis-soil-properties/data
  • California Water Quality Status - https://data.ca.gov/dataset/a7601751-8e18-4d1b-a7f1-e395ca9d3517/resource/4f9dcf98-5fb4-477b-8780-4411c083fee8/download/fig.-4-5.-sum-pyrethroid-toxic-units.csv
  • Water Portability Data - https://www.kaggle.com/code/moosecat/water-quality-eda-cleaning-and-prediction?select=water_potability.csv
  • Air Quality Data India - https://www.kaggle.com/datasets/shrutibhargava94/india-air-quality-data
  • Daily Temperature of Melbourne - https://www.kaggle.com/code/samfaraday/melbourne-daily-min-temperatures-eda
  • Forest Health and Ecological Diversity - https://www.kaggle.com/datasets/ziya07/forest-health-and-ecological-diversity
  • Water Potability - https://www.kaggle.com/datasets/uom190346a/water-quality-and-potability
  • Global Species Abundance and Diversity -
  • Global Land Temperature by City -
  • CO2 and Greenhouse Gas Emissions - https://www.kaggle.com/datasets/shahriarkabir/co2-and-greenhouse-gas-emissions-by-region