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LESSON 18: Building a land-use and land-cover change simulation model

What will you learn?

* How to simulate land-use change
* How to calculate transition matrix
* How to calibrate a land-use change model
* Using Weights of Evidence
* Map Correlation
* Model Validation

This lesson explores the use of Dinamica EGO as a simulation platform for land-use and cover change (LUCC) models. The eventual goal is to calibrate, validate, and run a LUCC model for the Rondonia State in Amazon Biome, Brazil. Over the coming weeks you will learn how to calculate the amount of change using transition matrices, generate a probability map to help predict the locations of change, combine these two types of information within a model that propagates land change, validate your model based on observed changes, and then use the calibrated and validated model to project change into the future under various scenarios.

Step 1: Calculating Transition Matrices

Step 2: Calculating Weights of evidence ranges and coefficients

Step 3: Weights of evidence correlation

Step 4: Calibrating Patcher and Expander

To calibrate the model, we will use the 2005 map as the initial landscape and the 2011 map as the final map. The landscape maps are signed 8-bit integer and represent the classes shown in Table 1.

Step 5: Generating Probabilities map and simulating LUCC

Step 6: Validating with exponential decay function and multi window similarity

Step 7: Projecting change into the future (Trajetories)

Lesson under construction