Introduction Qualitative spatial reasoning is a valid support for inferring relationships in geographical spaces. In particular, qualitative inferences are cognitively more expressive than quantitative ones, and support reasoning mechanisms in the absence of complete spatial knowledge (Cohn 1997). In geographical space, reasoning on spatial entities is supported by representations that mainly i...

Recent studies indicate that positive relationships between invasive plants and soil can contribute to further plant invasions. However, it remains unclear whether these relations remain unchanged throughout the growing season. In this study, spatial sequences of field observations along a transect were used to reveal seasonal interactions and spatially covarying relations between one common in...

[1] A cloud masking algorithm based on the spatial variability of reflectances at the top of the atmosphere in visible wavelengths was developed for the retrieval of aerosol properties by MODIS. It is shown that the spatial pattern of cloud reflectance as observed from space, is very different from that of aerosols. Clouds show a very high spatial variability in the scale of hundred meters to f...

1) Problem characterization Adopt a design model such as Rosemblum and Wolf in order to understand the main dimensions of a pub/sub infrastructure and their dependencies. A model is a small scale representation of the actual system that can be used to test it, predicting its behavior through generalization. The model here is also generic and complete enough to represent the possible variations ...

We show in this paper that mathematical morphology provides a unified and consistent framework to express different types of spatial relationships and to answer different questions about them, with good properties. We show then how to use these fuzzy relationships in modelbased pattern recognition and spatial reasoning under imprecision. Two examples are presented, one where recognition of face...

Urban fire occurs within the built environment, usually involving casualties and economic losses, and affects individuals and socioeconomic activities in the surrounding neighborhoods. A good understanding of the spatiotemporal dynamics of fire incidents can offer insights into potential determinants of various fire events, therefore enabling better fire risk estimation which can assist with fu...

Climatic variability analysis is an emerging scientific issue for SouthAsian regions, where recent climate change has imposed substantial challenges. In this paper, we analyzed the spatiotemporal variability of the yearly maximum temperature (TXx), which characterizes the summer in Bangladesh, sampled at 34 meteorological stations during 1948-2007. We identified monotonic and robust temporal tr...

Through a geographically weighted panel regression analysis, we demonstrate the spatially varying relationship between weather and corn yields. A balanced panel data of 958 U.S. corn production counties for the period 2002-2006 is used. The results indicate that the relationship between weather and corn yield has large spatial variability. In specific, temperature tends to have negative margina...