Many cohort studies in environmental epidemiology require accurate modeling and prediction of fine scale spatial variation in ambient air quality across the U.S. This modeling requires the use of small spatial scale geographic or "land use" regression covariates and some degree of spatial smoothing. Furthermore, the details of the prediction of air quality by land use regression and the spatial...

Groundwater, a special hydrological variable and freshwater resource is completely inter-reliant with hydro-metorological, topographic, land use and hydro-geological components of hydrologic cycle. Trend of hydrologic componentsfor future prediction is attempted to confer in this study using Man-Kendall test, linear regression and geometric progression analysis on recorded data collected from r...

The study assessed the effects of agricultural practices on biodiversity in Olamaboro Local Government Are of Kogi State, Nigeria. One hundred and fifty (150) farmers (respondents) were sampled using simple random sampling technique from five council wards (30 farmers per council ward). Data collected were analyzed using descriptive statistics and Logit regression model. Results showed that 63%...

Ground water nitrate concentrations on Nantucket Island, Massachusetts, were analyzed to assess the effects of land use on ground water quality. Exploratory data analysis was applied to historic ground water nitrate concentrations to determine spatial and temporal trends. Maximum likelihood Tobit and logistic regression analyses of explanatory variables that characterize land use within a 1000-...

Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve Jungang Gao a b & Yili Zhang a a Department of Land-Use/Land-Cover Change and Land Resources Research, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, PR China b Department of Resources and Env...

Change in urban construction land use is an important factor when studying urban expansion. Many scholars have combined cellular automata (CA) with data mining algorithms to perform relevant simulation studies. However, the parameters for rule extraction are difficult to determine and the rules are simplex, and together, these factors tend to introduce excessive fitting problems and low modelin...