887,857 research outputs found
Sustainable economic growth within environmental limits. volume 1: guidance for the east midlands
LUC and GHK have developed a tool for setting environmental limits that local communities and other stakeholders can use. The three-step approach is based on the participation of the local community and other interested stakeholders, such as statutory agencies and businesses. It enables them to debate the use of important national, regional and local environmental assets, and the potential economic and social implications of setting environmental limits. The approach also provides a tool that can usefully support and inform other assessment requirements, such as Sustainability Appraisal/Strategic Environmental Assessment, Habitats Regulations Assessment and Equality Impact Assessment/Health Impact Assessment
Sustainable economic growth within environmental limits hypothetical case study: 'limitville'
A new approach to delivering ‘sustainable economic growth within environmental limits’ has been developed for the East Midlands. The approach is described in detail in a guidance document prepared by Land Use Consultants and GHK Consulting for emda and partners. The ‘Limitville’ case study was developed to test and illustrate the new approach
Satellite remote sensing for ice sheet research
Potential research applications of satellite data over the terrestrial ice sheets of Greenland and Antarctica are assessed and actions required to ensure acquisition of relevant data and appropriate processing to a form suitable for research purposes are recommended. Relevant data include high-resolution visible and SAR imagery, infrared, passive-microwave and scatterometer measurements, and surface topography information from laser and radar altimeters
Land use in rural New Zealand: spatial land use, land-use change, and model validation
Abstract
Land is an important social and economic resource. Knowing the spatial distribution of land use and the expected location of future land-use change is important to inform decision makers. This paper documents and validates the baseline land-use maps and the algorithm for spatial land-use change incorporated in the Land Use in Rural New Zealand model (LURNZ). At the time of writing, LURNZ is the only national-level land-use model of New Zealand. While developed for New Zealand, the model provides an intuitive algorithm that would be straightforward to apply to different locations and at different spatial resolutions. LURNZ is based on a heuristic model of dynamic land-use optimisation with conversion costs. It allocates land-use changes to each pixel using a combination of pixel probabilities in a deterministic algorithm and calibration to national-level changes. We simulate out of sample and compare to observed data. As a result of the model construction, we underestimate the “churn” in land use. We demonstrate that the algorithm assigns changes in land use to pixels that are similar in quality to the pixels where land-use changes are observed to occur. We also show that there is a strong positive relationship between observed territorial-authority-level dairy changes and simulated changes in dairy area
Land use and mobility
This paper analyses the effects of land use characteristics on mode choice and carownership. The study is based on a large sample of individuals from the National TravelSurvey of Great Britain for the years 1989-91 and 1999-2001. Land use characteristics aredefined as population density, size of the municipality, accessibility to public transport andlocal amenities, such as shops and services. Mode choice (shares of total travel by car,public transport and walking) and car ownership are modelled using multinomial andbinomial logit models respectively, which include a large number of socio-economicfactors (income, age, gender, household structure and employment status) as well as landuse indicators. The estimation results strongly support the importance of the land usefactors considered on mode choice and car ownership
Land Use and Mapping
Land use management, classification, and mapping based on ERTS-1 observations - Conferenc
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