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Digital mapping and predicting the urban growth: integrating scenarios into cellular automata-Markov chain modeling       
Yazarlar (3)
Doç. Dr. Öznur IŞINKARALAR Doç. Dr. Öznur IŞINKARALAR
Kastamonu Üniversitesi, Türkiye
Çiğdem Varol Özden
Türkiye
Dilara Yılmaz
Kastamonu Üniversitesi, Türkiye
Devamını Göster
Özet
Predictive modeling and land use/land cover change studies in complex systems are well advanced. Cellular automata (CA)-Markov chain (MC) can be defined as one frequently preferred method for this purpose. This paper aims to adapt the CA-MC model to the simulation of residential areas in the city. The proposed method was tested in the city center of Kastamonu, Türkiye, using four time periods: 1985, 2011, 2015, and 2021. Spatio-temporal change maps were produced using ArcGIS 10.0 software. Land use simulation of the urban center, including residence units for 2031 and 2057, was performed using the integrated CA-MC technique. The method’s suitability was demonstrated with the Kappa index of agreement values (Kstandart: 0.93; Klocation: 0.98; Kno: 0.98; and KlocationStrata: 0.95). Within the scope of the study, two different scenarios were designed as short term (S1) and long term (S2). According to the predictions for 2031, there was a residential area increase of 15% in S1 and 29% in S2. When we reach 2057, these growth values were measured as 50% according to S1 and 72% according to S2.
Anahtar Kelimeler
Geographic information | Growth modeling | Kappa statistic | Land degradation | LULCC | Spatial analysis
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayınlanan tam makale
Dergi Adı APPLIED GEOMATICS
Dergi ISSN 1866-9298 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler Emerging Source Citation Index
Makale Dili İngilizce
Basım Tarihi 12-2022
Cilt No 14
Sayı 4
Sayfalar 695 / 705
Doi Numarası 10.1007/s12518-022-00464-w
Makale Linki https://link.springer.com/article/10.1007/s12518-022-00464-w