In Land Change Modelling: Design Cognition and Machine Learning

DOI

10.2991/assehr.k.211126.005How to use a DOI?

Keywords

Land change modeling; Machine learning; Design cognition

Abstract

The landscape is continuously changing due to natural disturbances and anthropogenic activities. The alteration can and simulated using models continuously being developed with different approaches, such as Machine learning and Cellular. This paper explores the use of Multi-layer perceptron (MLP) integrated with the Cellular Automata-Markov (CA-Markov) model to simulate the future land cover change based on development planning scenarios. An example of model applications and the potential elaboration using free online spatial datasets in Jakarta is also presented. The paper shows how different spatial policies and guidelines can be incorporated into the modeling process, allowing users to assign areas where new developments can occur in the future. It is argued that the generation of spatial plan alternatives and the possibility of including sketching as a tool in the activity is similar to design cognition.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Medria Shekar Rani
AU  - Wiwik Dwi Pratiwi
PY  - 2021
DA  - 2021/11/29
TI  - In Land Change Modelling: Design Cognition and Machine Learning
BT  - Proceedings of the ARTEPOLIS 8 - the 8th Biannual International Conference (ARTEPOLIS 2020)
PB  - Atlantis Press
SP  - 41
EP  - 47
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211126.005
DO  - 10.2991/assehr.k.211126.005
ID  - Rani2021
ER  -