Training workshop in Advanced Spatial Data Analysis in Ecology and Conservation

Wednesday, July 22

Thursday, July 23

Location

Exploratory Spatial Data Analysis

Spatial Regression Analysis

9:00-9:30

Lecture 1: Introduction

Day 1: Recap and Q&A

LH-2

9:30-10:15

Lecture 2: Overview of Fundamental Spatial Concepts (JK)

Lecture 6: Spatial Regression Overview

LH-2

10:15-11:15

Guest lecture: Spatial data and spatial processes in ecology: Concepts and Applications

Dr. Jagdish Krishnaswamy

Lecture 7: Model Specification (Spatial Lag and Error) (DA)

LH-2

11:15-11:30

Tea/coffee break

Tea/coffee break

11:30-12:30

Lecture 3: Global and Local Spatial Autocorrelation (JK)

Lecture 8: Diagnostic Tests (DA)

LH-2

12:30-12:55

Lecture 4: Spatial Weights (JK)

Lecture 9: Model Estimation (Maximum Likelihood) (DA)

LH-2

13:00-13:30

Lecture 5: Spatial Point Pattern Basics (JK)

Lecture 10: Advances Overview (GMM-IV, HAC, Spatial Panel, Spatial Probit) (DA)

LH-2

13:30-15:00

Lunch break

Lunch break

15:00-16:00

Lab 1: Overview of Open-Source Spatial Analysis/ GIS Software (e.g., STARS, Grass, qGIS, Croizat, GeoDaX, R, Minerva, dynTM, India Biodiversity Portal) (DA)

Lab 5: Overview of Open-Source Spatial Regression Software (GeoDa, GeoDaSpace, R) (DA)

Lab 6: Software demo (GeoDa and GeoDaSpace) (JK & DA)

LH-3

16:00-16:15

Tea/coffee break

Tea/coffee break

16:15-16:45

Lab 2: Software demo of GeoDa and GeoDaNet and QGIS (JK)

Lab 7: Software use and Q&A: GeoDa and GeoDaSpace (JK & DA)

LH-3

16:45-17:30

Lab 3: Software use and Q&A: GeoDa, GeoDaNet and QGIS (JK & DA)

17:30-18:00 (8am Boston time)

Lab 4: Network point-pattern Q&A with Andrew Winslow, GeoDaNet Author)

Lab 8: Q & A and Course Conclusion

LH-3

7.00pm

Dinner