The progress of GeoCompuation research has brought us a rich set of effective computational methods for solving geospatial problems. To increase the interoperability of these methods, we have to deal with the diversity and heterogeneity ingrained in the plurality and inclusiveness of GeoComputation. Current GeoComputational interoperability research mostly focuses on interoperability issues related to geospatial data and services producing it instead of the computational methods in GeoComputation. To address this deficiency, we propose a framework to increase the interoperability of computational methods in GeoComputation. To demonstrate the utility of the proposed framework, we adapted and implemented much of the new Java Data Min...
International audienceAccess to data on the web has become routine based upon open standards from IE...
Scientists in geospatial data-driven fields often spend significant efforts in “wrangling data”, i.e...
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describ...
GeoComputation is a relatively recent and emergent discipline containing numerous methods and techni...
Most contemporary GIS have only very basic spatial analysis and data mining functionality and many a...
Much geospatial data is available on the web and in off-line archives, but it is complex, heterogene...
It is estimated that more than 80 % of data that human beings have collected so far are geospatial d...
Spatial data mining systems (SDMS) [1] extracts previously unknown, interesting, and useful, spatial...
INTRODUCTION If you take a cursory look at today's Geographical Information Systems, you could...
In recent years there has been an explosion of geo-datasets derived from an increasing number of rem...
Geoinformatics field of science becomes more and more important nowadays. This is not only because i...
Presently, solutions for geo-information sharing are mainly based on Web technologies, implementing ...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
The explosive growth in both the volume and density of geospatial data, which has resulted in the di...
Abstract: We live in a mutual world. Perhaps, the most productive way of data collection is to recru...
International audienceAccess to data on the web has become routine based upon open standards from IE...
Scientists in geospatial data-driven fields often spend significant efforts in “wrangling data”, i.e...
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describ...
GeoComputation is a relatively recent and emergent discipline containing numerous methods and techni...
Most contemporary GIS have only very basic spatial analysis and data mining functionality and many a...
Much geospatial data is available on the web and in off-line archives, but it is complex, heterogene...
It is estimated that more than 80 % of data that human beings have collected so far are geospatial d...
Spatial data mining systems (SDMS) [1] extracts previously unknown, interesting, and useful, spatial...
INTRODUCTION If you take a cursory look at today's Geographical Information Systems, you could...
In recent years there has been an explosion of geo-datasets derived from an increasing number of rem...
Geoinformatics field of science becomes more and more important nowadays. This is not only because i...
Presently, solutions for geo-information sharing are mainly based on Web technologies, implementing ...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
The explosive growth in both the volume and density of geospatial data, which has resulted in the di...
Abstract: We live in a mutual world. Perhaps, the most productive way of data collection is to recru...
International audienceAccess to data on the web has become routine based upon open standards from IE...
Scientists in geospatial data-driven fields often spend significant efforts in “wrangling data”, i.e...
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describ...