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This study implements a data mining-based algorithm, the random forests classifier, with geo-spatial data to construct a regional and rainfall-induced landslide susceptibility model. The developed mod...
Integration of image analysis and GIS for 3D city modeling.
Fire is one of the disasters causing threats to the forests and the ecosystem through out the world. Fires have adverse effects on soil, forests and humans. During the process of burning, the soil nut...
Affected area of Dengue risk based on socio-cultural, environmental factors and its possible spatial relationship was investigated in dengue prone area i.e. city zone of Delhi. Data were collected fro...
We have constructed multi-scales foundational geographical database in china, and have released diverse spatial data and derived products. But how to keep the currency and continual updating of spatia...
In Japan, attention is currently focused on designing ecological networks for wildlife animals. However there is an obvious lack of the species spatial information.
With the rapid development of applications in 3D GIS, the defects in 2D GIS, which is no intuitive feelings, no convenient to manage the space object and no certainty to express the information and so...
A working integration of three-dimensional models with geo-referenced database holds great promise for large scale spatial study. In the past, the work was separated and difficult to combine between g...
Three-dimensional (3D) modelling of geological body is an important issue of 3D GIS and 3D Geosciences Modelling, and one of the key technologies of digital mine. GTP model and its components are intr...
A spatial error may refer to the difference between a measured value and the “true” value or the estimated uncertainty with respect to a given observation or set of observations which is the error con...
The invasions of non-native species of vegetation pose significant threats to natural environments at all geographical scales. Saltcedar has been commonly treated as one of the several most threatenin...
Fuzzy spatial objects have become more and more important in GIS applications. When spatial phenomena are generalized by the crisp form, a lot of quantitative information is lost. Land cover as a fuzz...
The significance of land cover as an environmental variable has made land use change an important subject in global environmental change and sustainable development. Modeling land use change has attra...
Soil Conservation Service (SCS) and overland flow models have been used for runoff modeling over major land mass of India. Remote sensing derived daily rainfall data (Climate Prediction Centre), high ...
In flood modeling, awareness has grown that models may not be reliable and may be uncertain and that performances should be evaluated more critically. Models may be uncertain due to many reasons that ...

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