A review of approaches to land use changes modeling

Tomasz Noszczyk


Being a widespread phenomenon, land use changes are being increasingly evaluated by modeling methods, including statistical modeling. Land use changes models facilitate interpreting the causes and consequences of land use dynamics and support policy-makers in taking rational decisions. Literature offers numerous land use models developed by researchers from various fields. The goal of the article was to review the existing methods of land use change modeling, in particular, statistical models. It is, therefore, a synthesis of the knowledge found in previous studies in this domain. The discussion is based on four areas: (1) the role of modeling and models in land use changes studies, (2) major land use changes modeling methods, their advantages and limitations, (3) integrated approach to modeling, (4) and land use changes modeling in Poland. Results indicate that there are many land use changes modeling methods, each with its advantages and drawbacks. It is not an easy challenge to select the right one. Such factors as the goal of the model and research problem should be taken into consideration. The article is intended first of all for researchers and modelers in pursuit of new research methods or improving their models.
Author Tomasz Noszczyk (FoEEaLS / DoSPaLA)
Tomasz Noszczyk,,
- Department of Spatial Planning and Landscape Architecture
Journal seriesHuman and Ecological Risk Assessment, [Human and Ecological Risk Assessment (HERA)], ISSN 1080-7039, e-ISSN 1549-7860, (N/A 40 pkt)
Issue year2019
Publication size in sheets1.4
Keywords in Englishland cover, statistical methods, environmental models, methodological approach, Poland
ASJC Classification2302 Ecological Modelling; 2307 Health, Toxicology and Mutagenesis; 2310 Pollution
URL https://www.tandfonline.com/doi/full/10.1080/10807039.2018.1468994
Internal identifierWIŚiG/2018/207
Languageen angielski
Score (nominal)40
Score sourcejournalList
Publication indicators WoS Citations = 8; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.758; WoS Impact Factor: 2018 = 2.012 (2) - 2018=1.689 (5)
Citation count*
Additional fields
FinansowanieThis research was financed by the Ministry of Science and Higher Education [Ministerstwo Nauki i Szkolnictwa Wyższego] of the Republic of Poland [grant number DS 3371/KGPiAK/2017]
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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