In this article, we intend to show how useful Exploratory Spatial Data Analysis is in improving spatial data usability. We first outlined a general framework about usability using conceptual modelling, including Data, Users and Methodologies. We then defined keywords into classes and their relations. A central ternary relation is enhanced to describe usability. In the second section, we present ESDA with its fundamental basics: i.e. robustness and way(s) to handle data and related graphic tools. We also described the software package ARPEGE'. Through a concrete example, we demonstrate and discuss its relevance for exploratory spatial data analysis and usability
This unit explains the purpose of exploratory data analysis and exploratory spatial data analysis (E...
Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation ...
Spatial data are today needed in a wide range of application domains. Indeed, spatial properties are...
In recent geographical information science literature, a number of researchers have made passing ref...
In recent geographical information science literature, a number of researchers have made passing ref...
The goal is a sophisticated evaluation of the possibility of using exploratory spatial data analysis...
A consistent theme in recent work on developing exploratory spatial data analysis (ESDA) has been th...
This chapter reviews the ideas behind interactive and exploratory spatial data analysis and their re...
International audienceAfter decades of an overwhelming GIS methodological approach to geographical d...
This paper describes a decade's worth of evolution of integrating software to support explorato...
The impact of GIS research extends beyond GIS. Our expertise about space, spatial relations, and spa...
The main goal of this chapter is to discuss the usage of spatial data within enterprise as well as s...
Exploratory spatial data analysis methodologies (ESDA) have become popular and accessible in the las...
Experiences about solving a spatially-related problem have shown that best solutions and conclusions...
Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation ...
This unit explains the purpose of exploratory data analysis and exploratory spatial data analysis (E...
Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation ...
Spatial data are today needed in a wide range of application domains. Indeed, spatial properties are...
In recent geographical information science literature, a number of researchers have made passing ref...
In recent geographical information science literature, a number of researchers have made passing ref...
The goal is a sophisticated evaluation of the possibility of using exploratory spatial data analysis...
A consistent theme in recent work on developing exploratory spatial data analysis (ESDA) has been th...
This chapter reviews the ideas behind interactive and exploratory spatial data analysis and their re...
International audienceAfter decades of an overwhelming GIS methodological approach to geographical d...
This paper describes a decade's worth of evolution of integrating software to support explorato...
The impact of GIS research extends beyond GIS. Our expertise about space, spatial relations, and spa...
The main goal of this chapter is to discuss the usage of spatial data within enterprise as well as s...
Exploratory spatial data analysis methodologies (ESDA) have become popular and accessible in the las...
Experiences about solving a spatially-related problem have shown that best solutions and conclusions...
Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation ...
This unit explains the purpose of exploratory data analysis and exploratory spatial data analysis (E...
Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation ...
Spatial data are today needed in a wide range of application domains. Indeed, spatial properties are...