2020
DOI: 10.3390/geosciences10110421
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GIS Spatial Analysis Modeling for Land Use Change. A Bibliometric Analysis of the Intellectual Base and Trends

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 disti… Show more

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Cited by 35 publications
(25 citation statements)
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“…Dari ketiga data spasial tersebut kemudian dilakukan tumpang susun (overlay) (Bielecka, 2020), sehingga diperoleh beberapa satuan lahan/unit lahan. Setelah diperoleh unit-unit lahan tersebut, kemudian ditentukan 21 plot sampel yang lokasinya tersebar di Kecamatan Cibatu.…”
Section: Gambar 1 Peta Lokasi Penelitianunclassified
“…Dari ketiga data spasial tersebut kemudian dilakukan tumpang susun (overlay) (Bielecka, 2020), sehingga diperoleh beberapa satuan lahan/unit lahan. Setelah diperoleh unit-unit lahan tersebut, kemudian ditentukan 21 plot sampel yang lokasinya tersebar di Kecamatan Cibatu.…”
Section: Gambar 1 Peta Lokasi Penelitianunclassified
“…Furthermore, land-use changes are inevitable and, in most cases, irreversible, since they are determined by population growth and progressive urbanisation. Bielecka (2020), based on an in-depth analysis of the literature, classified three main research fields related to land use/ land cover (hereinafter marked as LULC) changes. The first deals with change documentation and analysis of land cover change trajectories, the second comprises LULC change drivers and environmental impacts, and the third involves LULC forecasting.…”
Section: Introductionmentioning
confidence: 99%
“…These needs are satisfied by modern and dynamically developing remote sensing technologies which provide digital data, e.g., satellite images with high spectral, spatial, and temporal resolution and, first of all, at lower costs than those obtained by traditional field measurements [43,44]. Remote sensing data combined with geographic information systems (GIS) enable accurate detection of different categories of LULC, provide detailed and precise information on current and historical land cover, and enable analysis of the dynamics of these changes and reveal the spatial patterns of urban sprawl at different points in time [45][46][47][48]. Especially in countries where the computerisation of the spatial management is at an unsatisfactory level due to the lack of up-to-date and accurate national LULC data, modern and rapidly developing remote sensing and GIS technologies ensure that the infrastructure of digital spatial-temporal land cover data necessary for monitoring urban expansion is maintained [40,[49][50][51][52].…”
Section: Introductionmentioning
confidence: 99%