Social media activity has become an important component of daily life for many people. Messages from Twitter (US) and Weibo (China) have shown their potential as important data sources for detecting and analyzing infectious diseases. Such emerging and dynamic new data sources allow us to predict how infectious diseases develop and evolve both spatially and temporally. We report the dynamics of ...

Residential spatial differentiation, also called residential segregation, is a representation of the differentiation of social stratum in economic income, social status, education degree, lifestyle, and other aspects, based on an urban geographical space. In this paper, Xiamen Island is taken as example to calculate the dissimilarity index and the multi-group dissimilarity index at three scales...

The grid file [1] is a well known access method for multi-dimensional and spatial data. The response time needed to process path and range queries on the grid file access method can be improved significantly by distributing the data pages over multiple disks. This paper explores the disk allocation methods used to allocate the data pages of grid file among a set of disks, which can be accessed ...

With the growing popularity of ad-hoc sensor networks, spatially distributed MIMO systems have drawn a lot of attention. This work considers a spatially distributed MIMO system with randomly distributed transmit and receive antennas over spatial regions. We use the modal decomposition of wave propagation to analyse the performance limits of such system, since the sampling of the spatial regions...

Modelling of land use changes as a function of its biophysical and socio-economic driving forces provides insights into the extent and location of land use changes and its effects. The CLUE modelling framework is a methodology to model near future land use changes based upon actual and past land use conditions. This paper describes how changes in land use are allocated in the model. A statistic...

Mixed pixels could be considered as a major source of uncertainty through classification process of satellite imagery. In this regard, the use of soft classifiers is often inevitable in order to increase the accuracy of land cover estimates. Although soft classifiers provide detailed information for each pixel, spatial arrangement of sub-pixels remains unknown. Super Resolution Mapping (SRM) ha...

An integrated optimization model was developed for the spatial distribution of agricultural crops in order to efficiently utilize agricultural water and land resources simultaneously. The model is based on the spatial distribution of crop suitability, spatial distribution of population density, and agricultural land use data. Multi-source remote sensing data are combined with constraints of opt...

With current new urban developments, no balance can be found between green spaces and open areas present within urban networks and natural land patterns since urban networks are dominating ecological networks. Accordingly, one of the major tasks of urban and regional planners is the optimal land use allocation to urban green spaces. Therefore, to achieve this goal in this research, locations of...

water is an essential yet constrained commodity for human communities and ecological systems depend on it. with population growth and economic development, water resource is increasingly declining. over the past two decades, because of changes in population and climate, and relative welfare increase, the per capita consumption of water has increased. thus, optimal use of available water resourc...