Refining 1970's Land-Use Data With 1990 Population Data to Indicate New Residential Development

1994 ◽  
Keyword(s):  
Land Use ◽  
Population Data ◽  
Residential Development

scholarly journals Biodiversity and livelihood in land-use gradients in an era of climate change - outline of a Nepal-Swiss research project

1970 ◽  
Vol 7 ◽  
pp. 7-17 ◽  
Author(s):  
Christoph Scheidegger ◽  
Michael P Nobis ◽  
Krishna K Shrestha
Keyword(s):  
Land Use ◽  
Regional Climate ◽  
Population Data ◽  
Forest Fragments ◽  
Conservation Area ◽  
Study Region ◽  
Epiphytic Lichen ◽  
Oceanic Region ◽  
Precipitation Regimes ◽  
Different Levels

The Swiss National Science Foundation has recently granted a project where we propose to study how different levels of land-use intensity (from primeval forests to arable fields) and climate do affect biodiversity on the southern slope of the Nepalese Himalayas. We will investigate replicated land-use gradients at various altitudes in three regions with a different regional climate, and in particular, different levels of seasonal precipitation. Our core study region will be the Manaslu Conservation Area characterized by an oceanic climate and this region will be compared to a hyper-oceanic region in Annapurna Conservation Area and a semi-oceanic region of the Sagarmatha (Everest) region. By using a quasi-experimental landscape approach organisms will be investigated in six valleys covering different precipitation regimes, altitudinal gradients over 1600 m representing different temperatures, and four land use types ranging from closed forests to open landscapes. These organisms will include plants, lichens, mushrooms, butterflies and birds. Population data of Red Listed mammals (flagship species) will be collected during the project by local authorities. The functional connectivity of forest fragments along land-use and climate gradients will be assessed for two intensively studied species, the epiphytic lichen Lobaria pindarensis and the tree species Taxus wallichiana. DOI: 10.3126/botor.v7i0.4368Botanica Orientalis – Journal of Plant Science (2010) 7: 7-17

GIS Based Spatialization of Population Data in Meijiang River Basin

2013 ◽  
Vol 295-298 ◽  
pp. 2378-2383 ◽  
Author(s):  
Xiang Gui Zeng ◽  
Ge Ying Lai ◽  
Fa Zhao Yi ◽  
Ling Ling Zhang
Keyword(s):  
Land Use ◽  
Population Density ◽  
River Basin ◽  
Population Distribution ◽  
Population Data ◽  
Fusion Technology ◽  
Processing Technologies ◽  
Source Data ◽  
Density Map ◽  
Main Factors

This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight indexes of settlements on the population distribution. Last we fused the weight indexes of the main factors and the weight indexes of settlements to obtain the population density indexes of whole region and then generated the 100m×100m resolution raster population density map.

scholarly journals A Method for Mapping Future Urbanization in the United States

Urban Science ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 40 ◽  
Author(s):  
Lahouari Bounoua ◽  
Joseph Nigro ◽  
Kurtis Thome ◽  
Ping Zhang ◽  
Najlaa Fathi ◽  
...  
Keyword(s):  
New York ◽  
Land Use ◽  
Los Angeles ◽  
Urban Areas ◽  
Land Development ◽  
Population Data ◽  
The United States ◽  
Population Increase ◽  
Large Cities ◽  
Urban Land Management

Cities are poised to absorb additional people. Their sustainability, or ability to accommodate a population increase without depleting resources or compromising future growth, depends on whether they harness the efficiency gains from urban land management. Population is often projected as a bulk national number without details about spatial distribution. We use Landsat and population data in a methodology to project and map U.S. urbanization for the year 2020 and document its spatial pattern. This methodology is important to spatially disaggregate projected population and assist land managers to monitor land use, assess infrastructure and distribute resources. We found the U.S. west coast urban areas to have the fastest population growth with relatively small land consumption resulting in future decrease in per capita land use. Except for Miami (FL), most other U.S. large urban areas, especially in the Midwest, are growing spatially faster than their population and inadvertently consuming land needed for ecosystem services. In large cities, such as New York, Chicago, Houston and Miami, land development is expected more in suburban zones than urban cores. In contrast, in Los Angeles land development within the city core is greater than in its suburbs.

scholarly journals Land use changes in Prague suburban area according to different prediction modelling approaches

Geografie ◽  
2015 ◽  
Vol 120 (3) ◽  
pp. 422-443 ◽  
Author(s):  
Magdalena Indrová ◽  
Lucie Kupková
Keyword(s):  
Land Use ◽  
Time Series ◽  
Land Use Changes ◽  
Residential Development ◽  
Software Tools ◽  
Suburban Area ◽  
Soil Protection ◽  
Land Change ◽  
Land Change Modeler ◽  
Prediction Modelling

The main objective of this study was to compare the capabilities of the Dyna- CLUE and Land Change Modeler (LCM) software based on the results of land use/cover development predictions in selected cadastres of the Prague suburban area. Time series of land use data, land use plans of the municipalities, and data on soil protection were used for this analysis. Land use prediction maps for the year 2020 were created using both software tools. The results of the comparison showed that the models respect the restriction of development. In accordance with the local land use plans, new residential development was properly allocated. As for commercial areas, the requirements were not completely fulfilled. It is evident that both models are able to produce correct maps of future land use based on specified requirements at the level of several cadastral units (area approx. 2,000 ha). However, the instability of LCM and the necessity of using other software while working with Dyna-CLUE somewhat complicated the work.

Influence of the Metropolitan Atlanta Rapid Transit Authority on Population and Employment Location

1997 ◽  
Vol 1604 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Arthur C. Nelsonand ◽  
Thomas W. Sanchez
Keyword(s):  
Land Use ◽  
Large Scale ◽  
Residential Development ◽  
The Other ◽  
Rapid Transit ◽  
Land Use Patterns ◽  
Use Patterns ◽  
New Development ◽  
20Th Anniversary ◽  
Employment Location

The rail system operated by the Metropolitan Atlanta Rapid Transit Authority (MARTA) began operating in 1979. As its 20th anniversary nears, how has it influenced land use patterns? Results are mixed. Throughout the Atlanta metropolitan area, the population continues to sprawl outward and MARTA’s facilities do not appear to attract large-scale residential development to them. On the other hand, employment also continues to decentralize, and MARTA’s rail facilities appear to have attracted employment-based development. As MARTA extends service into the affluent northern tier suburbs, its attractiveness to employment centers and perhaps higher-density residential development should improve. The downside is that MARTA is exhausting its reach because most of the region’s new development is outside its jurisdiction.

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