scholarly journals GIS Spatial Analysis Modeling for Land Use Change. A Bibliometric Analysis of the Intellectual Base and Trends

Geosciences ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 421 ◽  
Author(s):  
Elzbieta Bielecka
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Land Use Change ◽  
The United States ◽  
Intellectual Structure ◽  
Research Papers ◽  
Gis Spatial Analysis ◽  
European Universities ◽  
Land Use Change Modeling ◽  
Co Coupling

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.

Land use change modeling through scenario-based cellular automata Markov: improving spatial forecasting

2018 ◽  
Vol 190 (6) ◽  
Author(s):  
Fatemeh Jahanishakib ◽  
Seyed Hamed Mirkarimi ◽  
Abdolrassoul Salmanmahiny ◽  
Fatemeh Poodat
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Land Use Change Modeling

scholarly journals Modeling and Managing Urban Growth at the Rural-Urban Fringe: A Parcel-Level Model of Residential Land Use Change

2003 ◽  
Vol 32 (1) ◽  
pp. 83-102 ◽  
Author(s):  
Elena G. Irwin ◽  
Kathleen P. Bell ◽  
Jacqueline Geoghegan
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Growth Management ◽  
Smart Growth ◽  
The United States ◽  
Urban Fringe ◽  
Parameter Estimates ◽  
Management Scenarios ◽  
Residential Land ◽  
Residential Land Use

As many local and state governments in the United States grapple with increasing growth pressures, the need to understand the economic and institutional factors underlying these pressures has taken on added urgency. From an economic perspective, individual land use decisions play a central role in the manifestation of growth pressures, as changes in land use pattern are the cumulative result of numerous individual decisions regarding the use of lands. In this study, the issue of growth management is addressed by developing a spatially disaggregated, microeconomic model of land conversion decisions suitable for describing residential land use change at the rural-urban fringe. The model employs parcel-level data on land use in Calvert County, Maryland, a rapidly growing rural-urban fringe county. A probabilistic model of residential land use change is estimated using a duration model, and the parameter estimates are employed to simulate possible future growth scenarios under alternative growth management scenarios. Results suggest that “smart growth” objectives are best met when policies aimed at concentrating growth in target areas are implemented in tandem with policies designed to preserve rural or open space lands.

Spatial Land Use Change Modeling Techniques

2017 ◽  
pp. 171-185 ◽  
Author(s):  
Abubakr A. A. Al-sharif ◽  
Biswajeet Pradhan ◽  
Saleh Abdullahi
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Change Modeling ◽  
Modeling Techniques

scholarly journals Land Use Change from Biofuels Derived from Forest Residue: A Case of Washington State

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Daniel Brent ◽  
Sergey Rabotyagov
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
The United States ◽  
Washington State ◽  
Spatially Explicit ◽  
Biofuel Policy ◽  
Indirect Land Use Change ◽  
Forest Residue ◽  
Net Returns ◽  
Processing Plants

Biofuel policy in the United States is transitioning away from corn towards second-generation biofuels in part because of the debate over environmental damages from indirect land use change. We combine a spatially explicit parcel level model for land use change in Washington State with simulations for biofuel policy aimed at utilizing forest residue as feedstock. Using a spatially explicit model provides greater precision in measuring net returns to forestland and development and indicates which areas will be most impacted by biofuel policy. The effect of policy is simulated via scenarios of increasing net returns to forestry and of siting feedstock-processing plants. Our results suggest that forestland will increase from such a policy, leading to a net reduction in atmospheric carbon from indirect land use change. This is in contrast to the experience of corn ethanol where the change in carbon emissions is potentially positive and large in magnitude.

CLIMATE CHANGE AND FUTURE LAND USE IN THE UNITED STATES: AN ECONOMIC APPROACH

2011 ◽  
Vol 02 (01) ◽  
pp. 27-51 ◽  
Author(s):  
DAVID HAIM ◽  
RALPH J. ALIG ◽  
ANDREW J. PLANTINGA ◽  
BRENT SOHNGEN
Keyword(s):  
Climate Change ◽  
United States ◽  
Land Use ◽  
Land Use Change ◽  
Land Use Changes ◽  
The United States ◽  
Land Use Patterns ◽  
Cropland Area ◽  
Climate Change Effects ◽  
Net Returns

An econometric land-use model is used to project regional and national land-use changes in the United States under two IPCC emissions scenarios. The key driver of land-use change in the model is county-level measures of net returns to five major land uses. The net returns are modified for the IPCC scenarios according to assumed trends in population and income and projections from integrated assessment models of agricultural prices and agricultural and forestry yields. For both scenarios, we project large increases in urban land by the middle of the century, while the largest declines are in cropland area. Significant differences among regions in the projected patterns of land-use change are evident, including an expansion of forests in the Mountain and Plains regions with declines elsewhere. Comparisons to projections with no climate change effects on prices and yields reveal relatively small differences. Thus, our findings suggest that future land-use patterns in the U.S. will be shaped largely by urbanization, with climate change having a relatively small influence.

Threats and opportunities for freshwater conservation under future land use change scenarios in the United States

2013 ◽  
Vol 20 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Sebastián Martinuzzi ◽  
Stephanie R. Januchowski-Hartley ◽  
Brenda M. Pracheil ◽  
Peter B. McIntyre ◽  
Andrew J. Plantinga ◽  
...  
Keyword(s):  
United States ◽  
Land Use ◽  
Land Use Change ◽  
The United States ◽  
Freshwater Conservation
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