In this paper, we present a hybrid approach, robust principal component geographically weighted regression (RPCGWR), in examining the land change as a function of both extant urban land use and the effect of social and environmental factors in the Twin Cities Metropolitan Area (TCMA) of Minnesota. We used remotely sensed data to treat urban land use via the proxy of impervious surfaces. We then...

Urban areas are the scene of considerable growth and transformation processes which result in the conversion of land from rural to urban use and in secondary transformations from one urban use to another. In the cities of developing the world such land use change processes can be both formal or informal and they are often also very rapid. Information systems, which can deal effectively with the...

Understanding the complexity of urban expansion requires an analysis of the factors influencing the spatial and temporal processes of rural-urban land conversion. This study aims at building a statistical land conversion model to assist in understanding land use change patterns. Specifically, GIS coupled with a logistic regression model and exponential smoothing techniques is used for exploring...

The proliferation of disease-vector mosquitoes has been attributed to the effects of land-use change. We investigated the relationship between land use, macroinvertebrate communities, and water chemistry in water-filled containers in native forest, pasture land, and urban land at two locations (Waikanae and Paraparaumu) in the Kapiti region, New Zealand. Larvae of the endemic Culex pervigilans ...

Humans are changing the biosphere by exerting pressure on land via different land uses with variable intensities. Quantifying the relative importance of the land-use composition and intensity for communities may provide valuable insights for understanding community dynamics in human-dominated landscapes. Here, we evaluate the relative importance of the land-use composition versus land-use inten...

in this study, the environmental effects of land use changes on vegetation cover and emitted land surface temperature in two urban and non-urban areas of ardakan in yazd province, iran, were studied and compared temporally, using remote sensing technique. for this purpose, contemporary land sat satellite images in 1990 and 2002 were acquired and used. then vegetation cover maps were generated u...

mashhad city, according to the latest official statistics of the country is the second populated city after tehran and is the biggest metropolis in the east of iran. considering the rapid growth of the population over the last three decades, the city’s development area has been extended, significantly. this significant expansion has impacted natural lands on suburb and even some parts e.g. rang...

Several methods have been developed for forecasting land use change, with varying degrees of sensitivity to the influence of transportation networks. The simplest types of models for forecasting land use change are Markovian models (1–3) such as Markov chain models, which tend to treat land use change as a stochastic process. Assuming that rates of change between land use types are more or less...

Land use and land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate such changes. The authors have developed a national scale, integrated, dynamic time-series simulation model called the ‘Anthropogenically Engineered Transformations of Land Use and Land Cover’ (AGENT-LUC) Model, which si...