The paper, focusing on the problem that the overall correlation level of the research result is low in the current geospatial data search system, establishes users’ search intention models, researches the intelligent and professional geospatial information search method, and makes use of spatial cognition theory and knowledge engineering methods to make up for the shortcomings of the lack of se...

It is estimated that more than 80% of data that human beings have collected so far are geospatial data. In order for the geospatial data to be useful, information has to be extracted from the data and converted to knowledge. However, currently it is very difficult for general users to obtain geospatial data and turn them into useful information and knowledge. In order for geospatial information...

There are many cases wherein services offered in geospatial sectors are integrated with other fields. In addition, services utilizing satellite data play important roles in daily life and in sectors such as environment and science. Therefore, a management structure appropriate to the scale of the system should be clearly defined. The motivation of this study is to resolve issues, apply standard...

This is an exploratory study examining the predictors of geographic information systems (GIS) adoption among nonprofit organizations. A variety of organization, system, and environment characteristics are measured via a survey administered to 72 managers of nonprofit organizations. Comparisons are made between GIS and website adoption by these organizations. Results indicate that nonprofit mana...

This paper presents two case studies to illustrate how geographical analysis of serial crime conducted within a geographic information system can assist crime investigation. Techniques are illustrated for determining the possible residence of offenders and for predicting the location of future crimes based on the geographical pattern of the existing crimes. It is found that such methods are rel...

Today, with the common availability of Internet technologies, interoperability of geospatial data has become a necessity for sharing and integrating geospatial data. More specifically, it is seen as a solution to solve syntactic, structural, semantic, geometric and temporal heterogeneities between data sources. In Canada, we observe such heterogeneities from existing geospatial databases. For e...

Finding relevant geospatial information is increasingly critical because of the growing volume of geospatial data available through distributed environments. It is also a challenge for the ongoing development of the Geospatial Semantic Web. Data brokers provide searchable repositories through which users can generally retrieve the requested data. But generally, these mechanisms lack the capacit...

In recent years, multiple geospatial ontologies have been developed for a wide range of different spatial databases. In addition, the development of volunteered geographic information both challenges and provides opportunities to the traditional authenticated geospatial information. Though volunteered geographic information is typically not as reliable and structured as the authenticated geospa...

Constraint databases and geographic information systems share many applications. However, constraint databases can go beyond geographic information systems in efficient spatial and spatiotemporal data handling methods and in advanced applications. This survey mainly describes ways that constraint databases go beyond geographic information systems. However, the survey points out that in some are...

The expectation of library patrons to get all of the information they need, including geographic information, accessible on their desktops has created challenges to map and Geographic Information System (GIS) libraries. This new expectation has forced libraries to think about how to design a system that will allow diverse geographical information to be available over the Internet. Some librarie...