As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and
This book will be of interest to all of those individuals involved in geographical information systems and spatial data handling.
This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context.
Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable ...
In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover essential areas such as data acquisition, geoinformation theory, spatial statistics, and dissemination.
This book reports on some of the key issues connected with the use of citizen sensors in mapping.
Hunter, G.J., Wachowicz, M. and Bregt, A.K. (2003) “Understanding Spatial Data Usability”, Data Science Journal, Vol. ... for Making GIS Available to Community Organizations: dimensions of difference and appropriateness, in Craig, W., ...
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block.
Spatial Accuracy Assessment provides state-of-the-science methods, techniques and real-world solutions designed to validate spatial data, to meet quality assurance objectives, and to ensure cost-effective project implementation and ...
In the context of policing Swartz ( 2000 ) remarks that ecological or macrolevel data analysis ( see section 1.2.1 ) is likely to be of most interest to politicians who are concerned with the levels of strategic resource allocation ...
Evaluation of uncertainty, for example, by devising a statistical measure of error, provides a useful basis for ... the spread of results is small, either relative to the average result, or in absolute magnitude (Hughes and Hase, 2010).