Spatial Analysis of Urban Settlement Development in Kudus District with Cellular automata marcov Model (Case Study: Kota District, Bae District, Jati District and Kaliwungu District)

Teknik Pub Date : 2022-04-01 DOI:10.14710/teknik.v43i1.44234
F. J. Amarrohman, Yasser Wahyuddin, Elly Indah Novialis
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Abstract

The increase in the need for residential land will encourage changes in land use functions. Monitoring the development of urban settlements in Kudus Regency, specifically in the Districts of Bae, Jati, Kaliwungu and Kota needs to be carried out so as not to cause a transfer of land use functions that deviate from the applicable RTRW. Monitoring can be done by modeling. The modeling of urban settlement development is then combined with GIS to support the spatial analysis. This study aims to determine the changes in land use function for urban settlements in 2010-2020 with the overlay identity method, apply the CA-Marcov method in predicting land use for urban settlements in 2030 and find the value of modeling conformity with the RTRW map and its development pattern using the average nearest neighbor. The data used are WordView images in 2010 and 2015, SPOT-7 images in 2020 and the RTRW Map of Kab. Holy year 2012-2032. The results showed that the development of urban settlements in 2010-2015 was 162,375 Ha, while in 2015-2020 it was 55,978 Ha. During 2010 to 2020, the food crop agricultural area changed its function into urban settlements amounting to 126,927 Ha. The area of land for urban settlements as a result of the prediction of land use in 2030 is 3323,285 Ha, where the agricultural area for food crops is the largest land converted into urban settlements of 321,803 Ha. The value of the suitability of the predicted use of 2030 with the RTRW map is 71.42%. The pattern of urban settlement development in 2030 is random.
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基于元胞自动机马尔可夫模型的库都斯地区城市聚落发展空间分析(以哥打区、裴区、贾提区和Kaliwungu区为例)
住宅用地需求的增加将鼓励土地使用功能的改变。需要对Kudus Regency,特别是Bae、Jati、Kaliwungu和Kota地区的城市定居点的发展进行监测,以免导致土地使用功能的转移偏离适用的RTRW。监控可以通过建模来完成。然后将城市人居发展的建模与GIS相结合,以支持空间分析。本研究旨在用叠加恒等法确定2010-2020年城市住区土地利用函数的变化,将CA-Marcov方法应用于2030年城市居住区土地利用预测,并利用平均最近邻值寻找与RTRW地图及其发展模式相一致的建模值。使用的数据是2010年和2015年的WordView图像、2020年的SPOT-7图像和Kab的RTRW地图。圣年2012-2032。结果显示,2010-2015年城市住区开发面积为162375公顷,而2015-2020年为55978公顷。2010年至2020年期间,粮食作物农业区将其功能转变为城市定居点,总面积达126927公顷。根据2030年土地利用预测,城市住区的土地面积为3323285公顷,其中粮食作物农业面积是转换为城市住区面积最大的土地,为321803公顷。RTRW地图对2030年预测用途的适用性为71.42%。2030年城市人居发展模式是随机的。
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审稿时长
12 weeks
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