Validating land change models based on configuration disagreement

Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models

The growing numbers of land change models makes it difficult to select a model at the beginning of an analysis, and is often arbitrary and at the researcher’s discretion. How to select a model at the beginning of an analysis, when multiple are suitable, represents a critical research gap currently understudied, where trade-offs of choosing one model over another are often unknown. Repeatable me...

Land Markets in Agent Based Models of Structural Change

Copyright 2007 by [Konrad Kellermann, Christoph Sahrbacher, Alfons Balmann]. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. 2 Abstract. Land markets play a crucial role in agricultural structural change. The dynamics on land markets mainly depend on the interactions ...

Impact of urban land cover change on land surface temperature

The rapid growth in urban population is seen to create a need for the development of more urban infrastructures. In order to meet this need, natural surfaces such as vegetation are been replaced with non-vegetated surfaces such as asphalt and bricks which has the ability to absorb heat and release it later. This change in land cover is seen to increase the land surface temperature. Previous stu...

Configuration Based on Simplified Functional Models

Validating multiple structural change models – A case study

In a recent article, Bai and Perron (2003, Journal of Applied Econometrics) present a comprehensive discussion of computational aspects of multiple structural change models along with several empirical examples. Here, we report on the results of a replication study using the R statistical software package. We are able to verify most of their findings; however, some confidence intervals associat...