Understanding how the dynamics of vegetation growth respond to climate change at different temporal and spatial scales is critical to projecting future ecosystem dynamics and the adaptation of ecosystems to global change. In this study, we investigated vegetated growth dynamics (annual productivity, seasonality and the minimum amount of vegetated cover) in China and their relations with climati...

Please cite this article in press as: Malleson, N., microsimulation. Computers, Environment and U In recent years, criminologists have become interested in understanding crime variations at progressively finer spatial scales, right down to individual streets or even houses. To model at these fine spatial scales, and to better account for the dynamics of the crime system, agent-based models of c...

Nearly all spatial reasoning problems in­ volve uncertainty of one sort or another. Uncertainty arises due to the inaccuracies of sensors used in measuring distances and angles. We refer to this as directional un­ certainty. Uncertainty also arises in com­ bining spatial information when one loca­ tion is mistakenly identified with another. We refer to this as recognition uncertainty. Most prob...

The aim of this work is to introduce the potential of satellite-based remote sensing data to agencies responsible for monitoring and managing water quality in the coastal zone of Western Australia. There exists a knowledge and/or expertise gap between satellite data providers and potential end users. This project aims to close the gap by developing a fundamental management tool that will be geo...

SUMMARY Due to user requirements, it is very common to encounter situations where multi-scale spatial data is necessary. Data integration is highly desired due to the decreasing long-term costs of obtaining and maintaining data, as well as its beneficial effects on data consistency and accuracy within agencies. Paradoxically, complete and integrated multi-scale spatial databases are very rare. ...

New online prototypes have been developed to extend and enhance the previous effort by facilitating investigation of product characteristics and intercomparison of precipitation products in different algorithms as well as in different versions at different spatial scales ranging from local to global without downloading data and software. Several popular Tropical Rainfall Measuring Mission (TRMM...

The increase in computational power and storage capacity of computers, combined with the growing availability of geocoded data, has increased dramatically the amount of information processed in health studies, making it difficult to understand, to explore, and to discover interesting patterns within the data. The major difficulty in the analysis of health outcomes is that the patterns observed ...

Broad-scale environmental and ecological systems originate as simultaneous processes operating across a range of spatiotemporal scales. To study and conserve these systems it is crucial to understand the multi-scale structure of underlying processes. For example, consider some of the processes affecting birds during migration. Climatic phenomena, like El Niño southern oscillation and the North ...

Remote sensing techniques are now commonly applied to map and monitor urban land uses to measure growth and to assist with development and planning. Recent work in this area has highlighted the use of textures and other spatial features that can be measured in very high spatial resolution imagery. Far less attention has been given to using geospatial vector data (i.e. points, lines, polygons) t...