Abstract

The paper aimed to express the cognitive and intellectual structure of research executed in the field of GIS-based land use change modeling. An exploration of the Web of Science database showed that research in GIS spatial analysis modeling for land use change began in the early 1990s and has continued since then, with a substantial growth in the 21st century. By science mapping methods, particularly co-coupling, co-citation, and citation, as well as bibliometric measures, like impact indices, this study distinguishes the most eminent authors, institutions, countries, and journals in GIS-based land use change modeling. The results showed that GIS-based analysis of land use change modeling is a multi- and interdisciplinary research topic, as reflected in the diversity of WoS research categories, the most productive journals, and the topics analyzed. The highest impact on the world sciences in the field have can be attributed to European Universities, particularly from The Netherlands, Belgium, Switzerland, and Great Britain. However, China and the United States published the highest number of research papers.

Highlights

  • Land use change is one of the determinants that shape the Earth’s surface, and, since the twentieth century has caused a profound ecological impact, as itemized by Chapin III et al [1], greater than any other global change

  • The total number of publications in 1992–2020 (11 October) on GIS spatial analysis modeling for land use change extended 1482

  • Land use/land cover change is recognized as a global environmental and development problem, but, due to its complex nature and local occurrence, there is yet no consensus to quantify its global impact on environmental change, especially climate change

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Summary

Introduction

Land use change is one of the determinants that shape the Earth’s surface, and, since the twentieth century has caused a profound ecological impact, as itemized by Chapin III et al [1], greater than any other global change. Focused on deforestation and agriculture intensification as the largest land use changes during recent decades. Seto et al [6], noted that urbanization is one of the most irreversible human impacts on the biosphere, which leads to a loss of agricultural land, threatens biodiversity, and affects the local climate. The various land use change (referred to hereafter as LUC) models, that have been developed over the past three decades, enable the assessment and simulation of the future role of land use/land cover change in the functioning of the ecosystem, as well as meeting land management needs at every level, from local to global. Explicit LUC models as noted by Lambin et al [3,7,8]

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