Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models

Wei Yi; Zhiqiang Gao; Maosi Chen

doi:10.1117/12.927781

24 October 2012 Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models

Wei Yi, Zhiqiang Gao, Maosi Chen

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 85130H (2012) https://doi.org/10.1117/12.927781
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Land-use and land-cover change has been a research focus in global environmental change. Recent research found that land-use change could influence the structure of biogeochemical spheres as well as material and energy recycle directly or indirectly. Land-use dynamic models are considered as an effective technique to study the processes of land-use modification. The objective of this paper is to compare two widely use land-use dynamic models, CLUE-S and Dinamica EGO, from the perspective of land-use change amount, spatial characteristics, and their utility. A case study was conducted to examine the ascendants of each model and Kappa coefficient was used to compare the simulation accuracy. The modelling experiments reflected that the predictions of land-use change based on CLUE-S and Dinamica EGO matched broadly with actual situation. CLUE-S was better in overall accuracy whereas the Markov process in Dinamica EGO could precisely predict the amount of land-use change. Moreover, the spatial pattern of simulation map based on Dinamica EGO was more consistent with empirical result. Both results indicate their possible further applicability for forecasting future land-use change and corresponding studies.

Citation Download Citation

Wei Yi, Zhiqiang Gao, and Maosi Chen "Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130H (24 October 2012); https://doi.org/10.1117/12.927781

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available