2010
DOI: 10.1016/j.agee.2009.10.016
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Analysis of twenty years of categorical land transitions in the Lower Hunter of New South Wales, Australia

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Cited by 86 publications
(70 citation statements)
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“…Processes of LULC change are broad categories of landscape change and not the actual causes of land modifications, as considered in previous studies (Huang et al, 2012;Manandhar et al, 2010). The approach followed in this study is more appropriate for the identification of driving forces linked to LULC change.…”
Section: Dominant Processes Of Lulc Changementioning
confidence: 98%
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“…Processes of LULC change are broad categories of landscape change and not the actual causes of land modifications, as considered in previous studies (Huang et al, 2012;Manandhar et al, 2010). The approach followed in this study is more appropriate for the identification of driving forces linked to LULC change.…”
Section: Dominant Processes Of Lulc Changementioning
confidence: 98%
“…Previous studies showed that LULC detection analysis should consider different spatial scales, since landscape patterns might change with the resolution of maps (Manandhar et al, 2010). Coarser resolutions tend to show less swap and less inter-class transitions, and yet they can be very useful in finding the distances over which the change occurs (Pontius et al, 2004).…”
Section: Systematic Transitionsmentioning
confidence: 99%
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“…In this regard, López and Plata (2009) proposed that the enormous magnitude of persistence, compared with changes, could lead to erroneous conclusions about the dynamics of the territory. Thus, it becomes interesting to analyze the data outside the main diagonal because they help identify key and systematic patterns of change separate from any persistence level and land cover size (Pontius et al, 2004;Braimoh, 2006;Manandhar et al, 2010;Gutiérrez and Grau, 2014). Table 4 presents the transitions based on the most significant gains between land covers.…”
Section: Indices Of Persistencementioning
confidence: 99%
“…Land use transitions can be detected by statistical evaluation by comparing different temporal pattern maps. A common method employs the use of a land use/cover transition matrix, which provides a cross-tabulation matrix including change quantities and directions, and allows identification of differences between random and systematic land use transitions [14][15][16][17]. However, matrix-based land use studies mainly focus on overall gains and losses, and tend to ignore the spatial locations and swap changes of land use transitions [10,18].…”
Section: Introductionmentioning
confidence: 99%