365
Views
17
CrossRef citations to date
0
Altmetric
Articles

Integration of Markov chain analysis and similarity-weighted instance-based machine learning algorithm (SimWeight) to simulate urban expansion

Pages 217-237 | Received 02 Nov 2015, Accepted 09 Jan 2017, Published online: 14 Feb 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (3)

Marek Smid & Ana Cristina Costa. (2018) Climate projections and downscaling techniques: a discussion for impact studies in urban systems. International Journal of Urban Sciences 22:3, pages 277-307.
Read now

Articles from other publishers (14)

Yakubu Aliyu Bununu, Ashiru Bello & Adamu Ahmed. (2023) Land cover, land use, climate change and food security. Sustainable Earth Reviews 6:1.
Crossref
Bruna Batista Kappes, Tatiana Mora Kuplich, Tatiana Silva da Silva & Eliseu José Weber. (2023) Using multilayer perceptron and similarity‐weighted machine learning algorithms to reconstruct the past: A case study of the agricultural expansion on grasslands in the Uruguayan savannas. Integrated Environmental Assessment and Management.
Crossref
Vivek Singh, Purnendu Sardar, Sukha Ranjan Samadder, Dheeraj Kumar & Vasant Govind K. Villuri. (2023) Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks. Environment, Development and Sustainability.
Crossref
Abubaker Omer, Xing Yuan & Alexandra Gemitzi. (2023) Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways. Ecological Indicators 153, pages 110414.
Crossref
Sandeep Maithani, Garima Nautiyal, Archana Sharma & Surendra Kumar Sharma. (2022) Simulation of Land Surface Temperature Patterns Over Future Urban Areas—A Machine Learning Approach. Journal of the Indian Society of Remote Sensing 50:11, pages 2145-2162.
Crossref
Can CEZAYİRLİOĞLU, Ramazan ÇELİK & Dilek KÜÇÜK MATCI. (2022) Determination and Estimation of Water Surface Change With Landsat Data and Machine Learning Algorithms; A Case Study in Lake Marmara. Turkish Journal of Remote Sensing.
Crossref
Dilek Küçük Matcı, Resul Çömert & Uğur Avdan. (2022) Analyzing and Predicting Spatiotemporal Urban Sprawl in Eskişehir Using Remote Sensing Data. Journal of the Indian Society of Remote Sensing 50:5, pages 923-936.
Crossref
Pritam Saha, Rajib Mitra, Kunal Chakraborty & Maitreyee Roy. (2022) Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal. Remote Sensing Applications: Society and Environment 26, pages 100730.
Crossref
Hamidreza Rabiei-Dastjerdi, Saeid Amini, Gavin McArdle & Saeid Homayouni. (2022) City-region or city? That is the question: modelling sprawl in Isfahan using geospatial data and technology. GeoJournal.
Crossref
Muhammad Fahad Baqa, Fang Chen, Linlin Lu, Salman Qureshi, Aqil Tariq, Siyuan Wang, Linhai Jing, Salma Hamza & Qingting Li. (2021) Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan. Land 10:7, pages 700.
Crossref
Jiamin Liu, Bin Xiao, Yueshi Li, Xiaoyun Wang, Qiang Bie & Jizong Jiao. (2021) Simulation of Dynamic Urban Expansion under Ecological Constraints Using a Long Short Term Memory Network Model and Cellular Automata. Remote Sensing 13:8, pages 1499.
Crossref
Amir Tajbakhsh, Azadeh Karimi & Anlu Zhang. (2020) Modeling land cover change dynamic using a hybrid model approach in Qeshm Island, Southern Iran. Environmental Monitoring and Assessment 192:5.
Crossref
Mehebub Sahana, Haoyuan Hong & Haroon Sajjad. (2018) Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India. Science of The Total Environment 628-629, pages 1557-1566.
Crossref
M S. Mirakhorlo & M. Rahimzadegan. (2018) Integration of SimWeight and Markov Chain to Predict Land Use of Lavasanat Basin. Numerical Methods in Civil Engineering 2:4, pages 1-9.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.