This paper presents a theoretical approach that has been developed to capture the computational intensity and computing resource requirements of geographical data and analysis methods. These requirements are then transformed into a common framework, a grid-based representation of a spatial computational domain, that supports the efficient use of emerging cyberinfrastructure environments. Two ke...

background: iran is a vast country with great variability in ethnicity and geographical regions as well as higher diversity in socioeconomic and demographic factors in different provinces. all these differences could influence the growth indicators of children and may result in a substantial inequality in the distribution of growth indexes across iranian provinces. this study aimed to determine...

The paper illustrates the results of a correlation study focusing on linguistic variation in an Italian region, Tuscany. By exploiting a multi-level representation scheme of dialectal data, the study analyses attested patterns of phonetic and morpho-lexical variation with the aim of testing the degree of correlation between a) phonetic and morpho-lexical variation, and b) linguistic variation a...

Geosensors networks are dense wireless networks of small, low-cost sensors, which collect and disseminate environmental data of a vast geographical area. These networks hold the promise of revolutionizing sensing in a wide range of application. Despite the large amount of research in this field, little effort has been done to establish how to deal with the data collected by these networks. This...

Geographical information exists in multiple forms such as cartographical maps, images, and texts. Effective retrieval systems for geographical information are currently studied by both geospatial information scientists and library/information scientists. The two groups take quite different approaches which have rarely been explicitly compared and connected. This paper discusses the advantages a...

Geosensors networks are dense wireless networks of small, low-cost sensors, which collect and disseminate environmental data of a vast geographical area. These networks hold the promise of revolutionizing sensing in a wide range of application. Despite the large amount of research in this field, little effort has been done to establish how to deal with the data collected by these networks. This...

Bayesian forecasting in time and interpolation in space is a challenging task due to the complex nature of spatio-temporal dependencies that need to be modeled for better understanding and description of the underlying processes. The problem exacerbates further when the geographical study region, such as the one in the Eastern United States considered in this chapter, is vast and the training d...

Category cocitation and its representation through social networks is proving to be a very adequate technique for the visualization and analysis of great scientific domains. Its combination with PathfinderNetworks using pruning values r = ∞ and q = n – 1 makes manifest the essence of research in the domain represented, or what we might call the “most salient structure”. The possible loss of str...

In geographical databases for navigation, users raise various types of queries concerning route guidance. The most fundamental query is a shortest-route query, but, as dynamical tra c information newly becomes available and the static geographical database of roads itself has grown up further, more exible queries are required to realize a user-friendly interface meeting the current settings. On...