A method to analyse neighbourhood characteristics of land use patterns

Verburg, Peter H.; Nijs, Ton C. M. de; Eck, J.R. Ritsema van; Visser, Hans; Jong, Kees de

doi:10.1016/j.compenvurbsys.2003.07.001

Cited by 266 publications

(166 citation statements)

References 33 publications

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“…The study of the geographic neighborhood is a delicate theme. It was approached by Verburg et al (2004) through a methodology enabling the analysis of the characteristics.…”

Section: Validation Of Resultsmentioning

confidence: 99%

“…Applications of CA for land use change models in which both urban and rural land uses are considered are provided by Engelen et al (1995) and White and Engelen (2000) (Verburg et al 2004).…”

Section: Introductionmentioning

confidence: 99%

“…"The definition of the transition rules of a CA model is the most essential part to obtain realistic simulations of land use and land cover change. Land use change is the result of a complicated decision-making process; however, the transition rules of CA models are often defined on an ad hoc basis" (Verburg et al 2004).…”

Section: Introductionmentioning

confidence: 99%

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Use of cellular automata in the study of variables involved in land use changes

Riccioli

Asmar

et al. 2012

Environ Monit Assess

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The study of changes in land use has been included lately in territorial processes in order to optimize future management decisions. The different functions that the territory plays (production, aesthetic, and natural functions, etc.) make planning choices more difficult. This work focuses on the selection and combination of a set of indicators to analyze the variables through which the changes occur in the land used in viticulture for wine production. The proposed approach makes use of the Geographic Information System (GIS) in the development of a map of land use scenario. It is applied to a case study through a model involving cellular automata (CA) implemented with maps of suitability for viticulture and Markov chains. The use in this case of the CA is aimed at validating the scenario map in order to deduce the variables and the orientations of the farmers in the field of wine production.

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“…The study of the geographic neighborhood is a delicate theme. It was approached by Verburg et al (2004) through a methodology enabling the analysis of the characteristics.…”

Section: Validation Of Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Use of cellular automata in the study of variables involved in land use changes

Riccioli

Asmar

et al. 2012

Environ Monit Assess

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“…Antrop, 2000). For the consequences at both local and regional level, the spatial patterns of land-use changes are therefore as relevant as the aggregate amount of change (Verburg et al, 2004). Based on these premises, there is a definite need to integrate spatio-temporal approaches to land-use science and permanent monitoring tools addressing the specificity of economicallydynamic suburban areas (Hasse and Lathrop, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Human activity plays a crucial role in land-use changes throughout the world (Verburg et al, 2004;Serra et al, 2008). Changes in the use of land are among the most important human-induced changes impacting the functioning of the earth system (Lambin et al, 2001;Gillanders et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Ranalli¹,

Salvati²

2015

ESR&P

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Accessing vulnerability of land‐cover types to climate change using physical scaling downscaling model

Gaur

Simonović́

2016

Intl Journal of Climatology

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The objective of this study is to investigate the vulnerability of different land-cover types to climate change. To this end, land-cover specific temperature change factors are quantified for the southern Saskatchewan region using a novel statistical downscaling model: physical scaling (SP). SP model considers large-scale climate and regional physical characteristics like land-cover, elevation in its formulation and hence can be used to predict future temperature for different land-cover types under changing large-scale climatic and land-cover conditions. The model is validated by assessing its ability to downscale North American Regional Reanalysis (NARR) derived surface (skin) temperature from an initial resolution of 32 km to 500 m. The downscaled NARR data are evaluated using a cross-validation approach over the period 2006-2013 with reference to MODerate-resolution Imaging Spectroradiometer (MODIS) derived surface temperature estimates and satisfactory model performance is obtained (average RMSE = 0.03 K). The validated model is used to predict future surface temperature across the study region. Future land-cover projections are derived by downscaling land-use projections for Representative Concentration Pathways (RCPs) 2.6 and 8.5 made by integrated assessment models: IMAGE and MESSAGE, respectively. An analysis of land-cover specific temperature changes between historical (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) and future (2081-2100) timelines indicate variations of up to 2 K between different land-cover classes. Vulnerability pattern of different land-cover classes differ significantly between day-and night-time. Further, variations of upto 1 K in projected changes are observed among different forest cover types. Closed shrubland is obtained as the most vulnerable forest-cover class whereas evergreen broadleaf forest is found to be the least vulnerable.

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A method to analyse neighbourhood characteristics of land use patterns

Cited by 266 publications

References 33 publications

Use of cellular automata in the study of variables involved in land use changes

Use of cellular automata in the study of variables involved in land use changes

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Accessing vulnerability of land‐cover types to climate change using physical scaling downscaling model

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