Relevant bibliographies by topics / Land use-change modelling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Land use-change modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Land use-change modelling"

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Anurag, Ankita Saxena, and Biswajeet Pradhan. "LAND USE/ LAND COVER CHANGE MODELLING: ISSUES AND CHALLENGES." Journal of Rural Development 37, no. 2 (2018): 413. http://dx.doi.org/10.25175/jrd/2018/v37/i2/129708.

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Veldkamp, A., and P. H. Verburg. "Modelling land use change and environmental impact." Journal of Environmental Management 72, no. 1-2 (2004): 1–3. http://dx.doi.org/10.1016/j.jenvman.2004.04.004.

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Arowolo, Aisha Olushola, and Xiangzheng Deng. "Land use/land cover change and statistical modelling of cultivated land change drivers in Nigeria." Regional Environmental Change 18, no. 1 (2017): 247–59. http://dx.doi.org/10.1007/s10113-017-1186-5.

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Koomen, Eric, Piet Rietveld, and Ton de Nijs. "Modelling land-use change for spatial planning support." Annals of Regional Science 42, no. 1 (2007): 1–10. http://dx.doi.org/10.1007/s00168-007-0155-1.

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Petit, Sandrine, and Pia Frederiksen. "Modelling land use change impacts for sustainability assessment." Ecological Indicators 11, no. 1 (2011): 1–3. http://dx.doi.org/10.1016/j.ecolind.2010.08.001.

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Sun, Bo, and Derek Robinson. "Comparisons of Statistical Approaches for Modelling Land-Use Change." Land 7, no. 4 (2018): 144. http://dx.doi.org/10.3390/land7040144.

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Land-use change can have local-to-global environment impacts such as loss of biodiversity and climate change as well as social-economic impacts such as social inequality. Models that are built to anaPlyze land-use change can help us understand the causes and effects of change, which can provide support and evidence to land-use planning and land-use policies to eliminate or alleviate potential negative outcomes. A variety of modelling approaches have been developed and implemented to represent land-use change, in which statistical methods are often used in the classification of land use and lan
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McIntyre, Neil, Caroline Ballard, Michael Bruen, et al. "Modelling the hydrological impacts of rural land use change." Hydrology Research 45, no. 6 (2013): 737–54. http://dx.doi.org/10.2166/nh.2013.145.

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The potential role of rural land use in mitigating flood risk and protecting water supplies continues to be of great interest to regulators and planners. The ability of hydrologists to quantify the impact of rural land use change on the water cycle is however limited and we are not able to provide consistently reliable evidence to support planning and policy decisions. This shortcoming stems mainly from lack of data, but also from lack of modelling methods and tools. Numerous research projects over the last few years have been attempting to address the underlying challenges. This paper describ
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Brown, Calum, Ian Holman, and Mark Rounsevell. "How modelling paradigms affect simulated future land use change." Earth System Dynamics 12, no. 1 (2021): 211–31. http://dx.doi.org/10.5194/esd-12-211-2021.

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Abstract. Land use models operating at regional to global scales are almost exclusively based on the single paradigm of economic optimisation. Models based on different paradigms are known to produce very different results, but these are not always equivalent or attributable to particular assumptions. In this study, we compare two pan-European integrated land use models that utilise the same climatic and socio-economic scenarios but which adopt fundamentally different modelling paradigms. One of these is a constrained optimising economic-equilibrium model, and the other is a stochastic agent-b
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Pinto, Alessandro De, and Gerald C. Nelson. "Modelling Deforestation and Land-Use Change: Sparse Data Environments." Journal of Agricultural Economics 58, no. 3 (2007): 502–16. http://dx.doi.org/10.1111/j.1477-9552.2007.00119.x.

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Verburg, Peter H., Paul P. Schot, Martin J. Dijst, and A. Veldkamp. "Land use change modelling: current practice and research priorities." GeoJournal 61, no. 4 (2004): 309–24. http://dx.doi.org/10.1007/s10708-004-4946-y.

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Dissertations / Theses on the topic "Land use-change modelling"

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Fontaine, Corentin M. "Residential agents and land use change modelling." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4626.

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Urbanisation is driven by the complex interactions of many physical and human factors where human actions and decisions, individually and collectively, ultimately shape the patterns of urban landscapes. Agentbased modelling is an emerging technique in land use science that is designed to study multiple heterogeneous and locally interacting active entities within a system. An example of a local interaction is the request made by residents to planners for building permits. The decisions of planners in response to this request leads to emergent properties at an aggregate level such as city growth
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Batunacun. "Modelling land use and land cover change on the Mongolian Plateau." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21796.

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Der Bezirk Xilingol wurde als geeignetes Beispiel ausgewählt, weil es zu einem großen Flächenanteil von Grassteppe bedeckt ist und fast alle Phasen der Umweltpolitik Chinas durchlaufen hat. Es wurden zwei deutlich voneinander abgrenzbare Phasen identifiziert, von 1975 bis 2000 und von 2000 bis 2015. Während der ersten Phase, bis 2000, war Landdegradation der dominante Landnutzungswandelprozess, der 11.4 % der Gesamtfläche betraf. In dieser Phase war die menschliche Einflussnahme der Hauptfaktor in acht Landkreisen, die sich ändernden Wasserverhältnisse war es in sechs Landkreisen. Während der
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Tizora, Petronella Chenayi. "Modelling land use and land cover change in the Western Cape Province." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/65948.

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The Western Cape Province is currently faced with population growth, declining household sizes, increasing household numbers, high levels of migration, urbanization and escalating development pressures. These factors have consequently triggered changes in land use and land cover (LULC) and incited issues such as urban sprawl, marginalization of the poor, limited public access to resources, land degradation and climate change. Furthermore, the issues surrounding LULC in the Province emanate from past inequities in access to land coupled with unsustainable land use practices. This poses a challe
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Carneiro, Tiago Garcia de Senna. "Nested-ca: a foundation for multiscale modelling of land use and land cover change." Instituto Nacional de Pesquisas Espaciais, 2006. http://urlib.net/sid.inpe.br/mtc-m17@80/2007/01.03.11.57.

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Este trabalho apresenta a base matemática do modelo chamado Autômatos Celulares Aninhados (Nested-CA), um modelo de computação destinado ao desenvolvimento de modelos de mudança de uso e cobertura do solo em múltiplas escalas. As principais propriedades do modelo nested-CA são descritas e comparadas aos modelos de computação baseados em agentes e em autômatos celulares. O modelo nested-CA foi implementado em uma ambiente computacional, chamado TerraME, que oferece uma linguagem de alto nível para a descrição de modelos, um conjunto de estruturas de dados espaço-temporais para a representação e
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Gottschalk, Pia. "Modelling soil organic carbon dynamics under land use and climate change." Thesis, University of Aberdeen, 2012. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=186643.

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Soil organic matter (SOM) models simplify the complex turnover dynamics of organic matter in soils. Stabilization mechanisms are currently thought to play a dominant role in SOM turnover but they are not explicitly accounted for in most SOM models. One study addresses the implementation of an approach to account for the stabilization mechanism of physical protection in the SOC model RothC using 13C abundance measurements in conjunction with soil size fractionation data. SOM models are increasingly used to support policy decisions on carbon (C) mitigation and credibility of model predictions mo
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Son, Ill. "Modelling the hydrological effects of land-use change in small catchment." Thesis, University of Southampton, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358382.

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Rodríguez, Eraso Nelly. "Land-cover and land-use change and deforestation in Colombia: spatial dynamics, drivers and modelling." Doctoral thesis, Universitat Autònoma de Barcelona, 2011. http://hdl.handle.net/10803/84004.

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Este estudio analiza el cambio en la cobertura y uso del suelo con énfasis en los procesos de deforestación en dos regiones contrastantes de Colombia: Andes y Guyana, entre 1985 y 2005. Se aplicó un enfoque espacial y temporal a partir del análisis del cambio de uso y cobertura del suelo (LULCC) para evaluar y predecir los procesos de cambios asociándolos a variables explicativas y junto con métricas del paisaje y sistemas de información geográfica se analizaron patrones y tendencias de deforestación. La utilización del suelo es el resultado de la interacción de una serie de factores biofísic
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Teerarojanarat, Sirivilai. "Micro-simulation urban land use change modelling : the case of Ladprao, Bankok, Thailand." Thesis, University of Newcastle Upon Tyne, 2007. http://hdl.handle.net/10443/540.

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This thesis focuses on modelling the spatial pattern of urban growth of Ladprao, a district of Bangkok, Thailand. The first part of the thesis reviews the urban growth and land use change problems in Bangkok as well as the current role of urban planning and its limitations, in order to provide the context of this study. A GIS-based cellular automata (CA) model has been developed, where the multinomial logistic regression (MNL) and multicriteria decision analysis (MCDA) methods have been integrated to identify the potential cells for development. Customized tools have been developed using a VBA
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Oguz, Hakan. "Modeling urban growth and land use/land cover change in the Houston Metropolitan Area from 2002 - 2030." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/2231.

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The Houston-Galveston-Brazoria Consolidated Metropolitan Statistical Area (Houston CMSA) has experienced rapid population growth during the past decades and is the only major US metropolitan area with no zoning regulations. We use SLEUTH, a spatially explicit cellular automata model, to simulate future (2002-2030) urban growth in the Houston metropolitan area, one of the fastest growing metropolises in the United States during the past decades. The model is calibrated with historical data for the period 1974-2002 that are extracted from a time series of satellite images. The dataset consist
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Mhangara, Paidamwoyo. "Land use/cover change modelling and land degradation assessment in the Keiskamma catchment using remote sensing and GIS." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1467.

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Land degradation in most communal parts of the Keiskamma catchment has reached alarming proportions. The Keiskamma catchment is particularly predisposed to severe land degradation associated with soil erosion, thicket degradation and deteriorating riparian vegetation. There is a close coupling between land use/cover dynamics and degradation trends witnessed in the catchment. Soil erosion is prevalent in most of the communal areas in the catchment. The principal aim of this study was to investigate land use/cover trends, model the spatial patterns of soil loss and predict future land use/cover
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Books on the topic "Land use-change modelling"

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Koomen, Eric, John Stillwell, Aldrik Bakema, and Henk J. Scholten, eds. Modelling Land-Use Change. Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5648-6.

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Koomen, Eric, John Stillwell, Aldrik Bakema, and Henk J. Scholten, eds. Modelling Land-Use Change. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5648-2.

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Jokar Arsanjani, Jamal. Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23705-8.

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de, Nijs Ton. Modelling land use change: Improving the prediction of future land use patterns. Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.

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Modelling land use change: Improving the prediction of future land use patterns. Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.

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Liang, Youjia, Lijun Liu, and Jiejun Huang. Integrated Modelling of Ecosystem Services and Land-Use Change. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9125-5.

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Fricke, Katharina. Analysis and Modelling of Water Supply and Demand Under Climate Change, Land Use Transformation and Socio-Economic Development. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01610-8.

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Bindi, Marco, Giada Brandani, Alessandro Dessì, et al., eds. Impact of climate change on agricultural and natural ecosystems. Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-8453-921-2.

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This book illustrates the main results deriving from fourteen studies, dealing with the impact of climate change on different agricultural and natural ecosystems, carried out within the Impact of Climate change On agricultural and Natural Ecosystems (ICONE) project funded by the ALFA Programme of the European Commission. During this project, a common methodology on several Global Change-related matters was developed and shared among members of scientific communities coming from Latin America and Europe. In order to facilitate this interdisciplinary approach, specific mobility programmes, addre
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Sluiter, Raymond. Mediterranean land cover change: Modelling and monitoring natural vegetation using GIS and remote sensing. Koninklijk Nederlands Aardrijkskundig Genootschap ; International Geographical Union Section The Netherlands, 2005.

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Koomen, Eric, Aldrik Bakema, and John Stillwell. Modelling Land-Use Change. Springer, 2009.

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Book chapters on the topic "Land use-change modelling"

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Arsanjani, Jamal Jokar. "General Introduction." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_1.

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Arsanjani, Jamal Jokar. "Literature Review." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_2.

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Arsanjani, Jamal Jokar. "Study Area Description." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_3.

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Arsanjani, Jamal Jokar. "Data Preparation and Processing." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_4.

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Arsanjani, Jamal Jokar. "Implementation of Traditional Techniques." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_5.

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Arsanjani, Jamal Jokar. "Designing and Implementing Multi Agent Geosimulation." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_6.

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Arsanjani, Jamal Jokar. "Analysis of Results." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_7.

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Arsanjani, Jamal Jokar. "Conclusions and Recommendations." In Dynamic land use/cover change modelling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23705-8_8.

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Grainger, A. "Modelling tropical land use change and deforestation." In Tropical Rain Forest: A Wider Perspective. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4912-9_11.

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Verburg, P. H., W. T. de Groot, and A. J. Veldkamp. "Methodology for Multi-Scale Land-Use Change Modelling: Concepts and Challenges." In Global Environmental Change and Land Use. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0335-2_2.

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Conference papers on the topic "Land use-change modelling"

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Beser de Deus, L. A., L. F. C. F. Silva, and M. A. V. Freitas. "Conceptual spatio-temporal data modelling and land use change." In SUSTAINABLE DEVELOPMENT AND PLANNING 2011. WIT Press, 2011. http://dx.doi.org/10.2495/sdp110101.

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"Global forestry and land use change dynamics in intertemporal general equilibrium." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.d3.lennox.

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"How do agent types represent human behaviour in land use change modelling?" In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.g4.vandelden.

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Gallardo, Marta, and Javier Martinez-Vega. "Future Land Use Change Dynamics in Natural Protected Areas - Madrid Region Case Study." In International Workshop on Geomatic Approaches for Modelling Land Change Scenarios. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006387903700377.

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"Modelling the impact of native pastures to examine the relative effects of land use change." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.i6.beverly.

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Villamor, Grace B., Meine van Noordwijk, Klaus G. Troitzsch, and Paul L. G. Vlek. "Human Decision Making In Empirical Agent-Based Models: Pitfalls And Caveats For Land-Use Change Policies." In 26th Conference on Modelling and Simulation. ECMS, 2012. http://dx.doi.org/10.7148/2012-0631-0637.

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Dunn, Sarah, Marie Castellazzi, Maria Castellazzi, and Leah Jackson-Blake. "Modelling scenarios of land use and climate change on diffuse pollution from agricultural nitrate." In BHS 11th National Hydrology symposium. British Hydrological Society, 2012. http://dx.doi.org/10.7558/bhs.2012.ns17.

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Matasov, Victor. "LANDSCAPE-HISTORICAL GEOINFORMATION SYSTEM AS A BASE FOR LONG-TERM LAND-USE CHANGE RETROSPECTIVE MODELLING." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/2.2/s11.110.

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Yi, Wei, Zhiqiang Gao, and Maosi Chen. "Dynamic modelling of future land-use change: a comparison between CLUE-S and Dinamica EGO models." In SPIE Optical Engineering + Applications, edited by Wei Gao, Thomas J. Jackson, Jinnian Wang, and Ni-Bin Chang. SPIE, 2012. http://dx.doi.org/10.1117/12.927781.

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"Potential for land use change to dairy in Southland, New Zealand: impact on profitability and emissions to air and water." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.b2.vibart.

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Reports on the topic "Land use-change modelling"

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to da
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