L. Zhang a, J.C. Wu a,∗, L.L. Ge b, X.L. Ding c, Y.L. Chen d a Department of Surveying and Geo-Informatics, The Tongji University, 1239 Siping Road, Shanghai, China b School of Surveying & Spatial Information Systems, The University of New South Wales, Sydney, NSW 2052, Australia c Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hung Hom, KLN, Hong Kong d Sha...

Estimating the amount of variation due to spatial dependence at different scales provides a basis for designing effective experiments. Accurate knowledge of spatial structures is needed to inform silvicultural guidelines and management decisions for long term sustainability of forests. Furthermore, geostatistics is a useful tool to describe and draw map the spatial variability and estimation o...

Geographic information (also called geo-information, spatial information or geospatial information) plays an increasingly important role in our society. Location Based Services, applications for urban planning, disaster management systems rely on geo-data and in many cases up-to-date geo-information is crucial, e.g. in disaster response systems. In this paper we focus on a special kind of geo-i...

Congenital Malformations (CM) impose a heavy burden on families and society. Identification of spatial patterns of CM is useful for understanding the epidemiology of this public health issue. In Israel, about 1,000,000 births and 25,000 CM cases at 37 groups were geocoded during 2000–2006. These were geo-analyzed using global-Moran’s-I statistics. Eight groups demonstrated geospatial heterogene...

The data produced and consumed during emergency and disaster management is inherently spatial in nature, with a high probability of information deluge. Disaster management process are time and safety-critical and requires processes and data standards which are inter-operable. The Open Geo-spatial Consortium provides specifications for geo-spatial data, of which WFS, WMS, GML, GeoXaCML and GeoSM...

Geo-spatial applications need to provide powerful search capabilities to support users in their daily activities. However, discovery services are often limited by only syntactically matching user terminology to metadata describing geographical resources. We report our work on the implementation of a geographical catalogue, and corresponding semantic extension, for the spatial data infrastructur...

Building up Spatial Data Infrastructures (SDI) has been an important and actively followed topic in geo research for years. It’s also regarded in politics and by decision makers as leveraging technology for reducing time and cost in building up geo services for internal usage as well as for public information services. On the European level the new INSPIRE (Acronym for Infrastructure for Spatia...

In 3D terrain analysis, topographical characteristics, such as mountains or valleys, and geo-spatial data characteristics, such as specific weather conditions or objects of interest, are important features. Visual representations of these features are essential in many application fields, e.g., aviation, meteorology, or geo-science. However, creating suitable representations is challenging. On ...

Geo-tagged photographs are used increasingly as a source of Volunteered Geographic Information (VGI), which could potentially be used for land use and land cover applications. The purpose of this paper is to analyze the feasibility of using this source of spatial information for three use cases related to land cover: Calibration, validation and verification. We first provide an inventory of the...

Based on the service specifications of the Open Geospatial Consortium (OGC), Spatial Data Infrastructures (SDI) support the visualization, access to vector and raster data or managing and search for spatial data. A standard for distributed spatial data processing was missing for a long time. This issue was addressed by the development of the OpenGIS Web Processing Service (WPS) specification. H...