We present the design rationale underlying a language for spatial computing and sketch a prototypical implementation in Python. The goal of this work is to provide a high-level language for spatial computing that is executable on existing commercial and open source spatial computing platforms, particularly Geographic Information Systems (GIS). The key idea of the approach is to target an abstra...

OBJECTIVE This study analyzes the spatial distribution of scrub typhus in Korea. METHODS A spatial distribution of Orientia tsutsugamushi occurrence using a geographic information system (GIS) is presented, and analyzed by means of spatial clustering and correlations. RESULTS The provinces of Gangwon-do and Gyeongsangbuk-do show a low incidence throughout the year. Some districts have almos...

Spatial Information revision and updating is the main concern and production effort of maintaining the ever-growing GIS systems and spatial data bases. Developing easily effected automatic updating methods of spatial information becomes the key to the successful maintenance of the large GIS data bases established by many mapping agencies all over the world. The paper presents the second phase i...

The study of spatial relationships has been one of the most active areas in GIS research over the past twenty years. Many formal models have been proposed for the definition of topological or cardinal relationships. However, these approaches often consider space as a static continuum which does not integrate the temporal dimension. Recent progress in spatio-temporal GIS research attempts to ext...

Given recent developments in the fields of GIS data modelling, spatial data representation and storage in spatial databases, together with wireless Internet communications, it is becoming more obvious that the requirements for developing a real time road traffic information system are being met. This paper focuses on building a data model for traffic representation with support from the current...

Research on the reciprocal influence of spatial thinking and GIScience training is limited (Wakabayashi & Ishikawa, 2011). In the current project, we examine improvement in spatial navigation in undergraduates enrolled in GIS classes over the course of a semester. Students enrolled in strategic communications (SC), a low-spatial content class, were used as a control group. Fifty students were t...

Spatial Decision Support Systems (SDSS) assist decision makers in analyzing spatial problems and evaluate alternative solutions using applicable spatial and non-spatial data as well as analytical models. SDSS environments are typically built on top of Geographical Information Systems (GIS), which are capable of storing, manipulating and displaying geographically referenced information. Traditio...

We present the on-going research project ISIS (Interoperable Spatial Information Systems) which is a semantic mediation approach to support geographical spatial information systems interoperability. The diversity of spatial information systems (GIS) and data models has created a need for tools and methodologies to allow cooperation or interoperation among GIS. In particular, mediation based app...

An epistemological and discursive divide separates critics of GIS and its researchers. An assumption exists among many users and developers of GIS that the technology models reality and can thus be used to predict and explain spatial processes. This realist position is not sanctioned by social science critics of GIS who have focused efforts on illustrating the social effects of technology as we...