Geospatial images such as maps and aerial photographs are important sources of spatial knowledge that people use for wayfinding. The rapid development of geodata acquisition and digital graphics has recently led to rather complete geographic coverage of both traditional and novel types of geospatial images. Divergent types of geospatial images vary in their support of human acquisition of spatial knowledge. However evaluative studies about the acquisition of spatial knowledge from the diversity of geospatial images have been rare. In this article we review a variety of literature about the acquisition of spatial knowledge while paying particular attention to the role of geospatial images. Based on the literature we present a framework ...
AbstractQualitative spatial reasoning (QSR) pursues a symbolic approach to reasoning about a spatial...
Due to the increasing prevalence and relevance of geo-spatial data in the age of data science, Geogr...
A common way for researchers to model or graphically portray spatial knowledge of a large environmen...
Geospatial images, such as maps and aerial photographs, are important sources of spatial knowledge t...
We present an approach for supplying existing qualitative direction calculi with a distance componen...
Representation and reasoning with qualitative spatial relations is an important problem in artificia...
As Geographic Information Systems (GISs) have gained wider acceptance and application, the interest...
Qualitative Spatial Representation and Reasoning (QSRR) provides a qualitative and relational unders...
Spatial reasoning is a diverse topic; what might different spatial tasks have in common? One task wh...
‘Qualitative spatial reasoning and representation’ is a range of techniques developed in Artificial ...
Reasoning about spatial data is a key task in many applications, including geographic information sy...
The prevalent use of GPS-based navigation systems impairs peoples’ ability to orient themselve...
Three of the major problems in qualitative spatial reasoning and robotics are localization, explorat...
Qualitative spatial reasoning (QSR) enables cognitive agents to reason about space using abstract sy...
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Scienc...
AbstractQualitative spatial reasoning (QSR) pursues a symbolic approach to reasoning about a spatial...
Due to the increasing prevalence and relevance of geo-spatial data in the age of data science, Geogr...
A common way for researchers to model or graphically portray spatial knowledge of a large environmen...
Geospatial images, such as maps and aerial photographs, are important sources of spatial knowledge t...
We present an approach for supplying existing qualitative direction calculi with a distance componen...
Representation and reasoning with qualitative spatial relations is an important problem in artificia...
As Geographic Information Systems (GISs) have gained wider acceptance and application, the interest...
Qualitative Spatial Representation and Reasoning (QSRR) provides a qualitative and relational unders...
Spatial reasoning is a diverse topic; what might different spatial tasks have in common? One task wh...
‘Qualitative spatial reasoning and representation’ is a range of techniques developed in Artificial ...
Reasoning about spatial data is a key task in many applications, including geographic information sy...
The prevalent use of GPS-based navigation systems impairs peoples’ ability to orient themselve...
Three of the major problems in qualitative spatial reasoning and robotics are localization, explorat...
Qualitative spatial reasoning (QSR) enables cognitive agents to reason about space using abstract sy...
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Scienc...
AbstractQualitative spatial reasoning (QSR) pursues a symbolic approach to reasoning about a spatial...
Due to the increasing prevalence and relevance of geo-spatial data in the age of data science, Geogr...
A common way for researchers to model or graphically portray spatial knowledge of a large environmen...