Paper
22 December 2021 Potential development of spatial dynamics modeling research in Indonesia for environmental carrying capacity analysis
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Proceedings Volume 12082, Seventh Geoinformation Science Symposium 2021; 1208214 (2021) https://doi.org/10.1117/12.2615151
Event: Seventh Geoinformation Science Symposium (GSS 2021), 2021, Yogyakarta, Indonesia
Abstract
The interaction between humans and the environment is the object of research on spatial dynamics modeling. The relationship between population growth, land demand, and land availability was modeled to analyze the environment's carrying capacity. In spatial dynamics modeling studies, models were made to predict future land availability based on the system dynamics model of land demand and population growth. The model was then analyzed with regional socioeconomic and environmental factors. The novelty of spatial dynamic modeling studies comes from the uniqueness of regional factors. No significant novelty was found in the fundamental model assumption. Therefore, this research tries to find the opportunity for novelty in the spatial dynamic modeling study. Six research publications were reviewed using 6 variables on the comparative study method. The result of this study suggests that similar research on spatial dynamics modeling should use 60-70% of environmental carrying capacity for standard in the system dynamics model. This method was proven to delay the growth of the built-up area. Moreover, the model assumptions on spatial dynamics modeling research can be further developed in 3-dimensional spatial studies. The land availability dynamics model also can be further developed based on land suitability dynamics maps.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Wayan Gede Krisna Arimjaya and . Supriatna "Potential development of spatial dynamics modeling research in Indonesia for environmental carrying capacity analysis", Proc. SPIE 12082, Seventh Geoinformation Science Symposium 2021, 1208214 (22 December 2021); https://doi.org/10.1117/12.2615151
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KEYWORDS
Systems modeling

Data modeling

Earth observing sensors

Landsat

Mathematical modeling

Geographic information systems

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