{ "article_id": 366, "public_id": "ff37c7da-b71e-4c19-af33-7691bf8687d6", "internal_identifier": null, "source_identifier": "5:10", "status": "published", "type": "research_article", "title": "Tokat İlinde Kentsel Büyümenin SLEUTH Modeli İle Simülasyonu", "title_secondary": null, "abstract": "Bu çalışmada, Tokat ilinin 2030 yılı için kentsel büyüme simülasyonu Hücresel Otomat tabanlı SLEUTH modeli ile gerçekleştirilmiştir. Çalışmada 1987, 1998, 2007, 2014 yıllarına ait Landsat uydu görüntüleri, 2012 ve 2016 yıllarına ait ulaşım verileri, Sayısal Yükseklik Modeli (SYM) ve güncel imar planı kullanılmıştır. Veriler Coğrafi Bilgi Sistemleri (CBS) ortamında hazırlanmış ve simülasyon CBS destekli yürütülmüştür. Gerçekleştirilen simülasyon sonucunda, 2014-2030 yılları arasında kentsel alanların 20,03 km2 artacağı, 17,38 km2’lik kent dışı-tarım arazisinin ve 2,54 km2’lik orman arazisinin kent alanına dönüşebileceği sonucuna ulaşılmıştır. Bu bağlamda, çevresel, sosyal ve ekonomik olarak büyük öneme sahip olan doğal yapının korunması ve kentsel planlamanın gerçekleştiriminde CBS tabanlı simülasyon modelinin önemli bir yere sahip olduğu belirlenmiştir.  ", "language": "tr", "english_title": "Simulation of Urban Growth in Tokat Province Using the SLEUTH Model", "english_abstract": "This study simulates the urban growth of Tokat province for the year 2030 using a Cellular Automata-based SLEUTH model. The study utilized Landsat satellite images from 1987, 1998, 2007, and 2014, transportation data from 2012 and 2016, a Digital Elevation Model (DEM), and the current zoning plan. The data was prepared in a Geographic Information Systems (GIS) environment, and the simulation was conducted with GIS support. The simulation results indicate that between 2014 and 2030, urban areas will increase by 20.03 km², and 17.38 km² of non-urban agricultural land and 2.54 km² of forest land may be converted into urban areas. In this context, it has been determined that GIS-based simulation models play a significant role in the protection of the natural environment, which is of great environmental, social, and economic importance, and in the implementation of urban planning.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/ff37c7da-b71e-4c19-af33-7691bf8687d6", "pdf_url": "https://www.set-science.com/a/ff37c7da-b71e-4c19-af33-7691bf8687d6/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "32d380ed-0195-4858-93da-8ba33e496bcc", "given": "Ahmet Doğukan ", "family": "Yazıcı", "full": "Ahmet Doğukan  Yazıcı", "literal": null, "orcid": null, "orcid_url": null, "email": "ahmet.yazici@erzincan.edu.tr", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Erzincan Üniversitesi, İliç Dursun Yıldırım Meslek Yüksekokulu", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "225d9982-f95a-424f-b41a-a4aa08fdf4ed", "given": "Derya", "family": "Öztürk", "full": "Derya Öztürk", "literal": null, "orcid": null, "orcid_url": null, "email": "ahmet.yazicia@erzincan.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Ondokuzmayıs Üniversitesi, Mühendislik Fakültesi, Harita Mühendisliği ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "adc8edcd-0b25-4bcc-8eee-2da999db1f5f", "given": "İsmail Ercüment ", "family": "Ayazlı", "full": "İsmail Ercüment  Ayazlı", "literal": null, "orcid": null, "orcid_url": null, "email": "ahmet.yazicib@erzincan.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Cumhuriyet Üniversitesi, Mühendislik Fakültesi, Geomatik Mühendisliği Bölümü ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "Simulation of Urban Growth in Tokat Province Using the SLEUTH Model", "abstract": "This study simulates the urban growth of Tokat province for the year 2030 using a Cellular Automata-based SLEUTH model. The study utilized Landsat satellite images from 1987, 1998, 2007, and 2014, transportation data from 2012 and 2016, a Digital Elevation Model (DEM), and the current zoning plan. The data was prepared in a Geographic Information Systems (GIS) environment, and the simulation was conducted with GIS support. The simulation results indicate that between 2014 and 2030, urban areas will increase by 20.03 km², and 17.38 km² of non-urban agricultural land and 2.54 km² of forest land may be converted into urban areas. In this context, it has been determined that GIS-based simulation models play a significant role in the protection of the natural environment, which is of great environmental, social, and economic importance, and in the implementation of urban planning.", "keywords": [ "Kentsel Büyüme, SLEUTH, Coğrafi Bilgi Sistemleri" ] } ], "subjects": [], "subject_names": [], "published_date": "2018-06-23", "published_year": "2018", "received_date": null, "accepted_date": null, "volume": "2", "issue": null, "page_first": "8", "page_last": "8", "article_number": null, "conference": { "short_name": "ISAS 2018", "full_title": "Ist International Symposium on Innovative Approaches in Scientific Studies", "name": "Ist International Symposium on Innovative Approaches in Scientific Studies", "acronym": "ISAS 2018", "location": "Kemer-Antalya, Türkiye", "start_date": "2018-04-11", "end_date": null, "public_id": "1d94fec9-c4fe-4034-9157-0b205eef4e56" }, "proceedings": { "title": "Ist International Symposium on Innovative Approaches in Scientific Studies", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-2-2018-legacy-5", "public_id": "03da7b1c-cb6e-4f3b-aee4-ac41ee60fd75", "url": "https://www.set-science.com/p/setsci-volume-2-2018-legacy-5" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2018" }, "funding_statement": null, "funders": [], "references": [], "statements": { "acknowledgements": null, "conflict_of_interest": null, "data_availability": null, "ai_disclosure": null }, "credit": [], "history": { "published": "2018-06-23" } }