Spatial Data Quality
From Process to Decisions
Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.
Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) — from the assessment of data accuracy to legal aspects relating to the quality of geographic information — this reference reflects the changes in practice in response to the rapid technological developments over the past decade.
An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.
In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.
Table of Contents
CONCEPTUAL APPROACHES TO SPATIAL DATA QUALITY
What’s in a Name? Semantics, Standards and Data Quality; Peter Fisher, Alexis Comber and Richard Wadsworth
Scale Is Introduced in Spatial Datasets by Observation Processes; Andrew U. Frank
Towards a Quantitative Evaluation of Geospatial Metadata Quality in the Context of Semantic Interoperability; Tarek Sboui, Mehrdad Salehi and Yvan Bédard
Characterizing and Comparing GIS Polygon Shape Complexity by Iterative Shrinking Spectra; Tarmo K. Remmel, Connie Ko and Rick L. Bello
Projective Spray Can Geometry – An Axiomatic Approach to Error Modelling for Vector Based Geographic Information Systems; Gwen Wilke and Andrew U. Frank
Short Notes: Qualitative Topological Relationships for Objects with Possibly Vague Shapes: Implications on the Specification of Topological Integrity Constraints; Lotfi Bejaoui, Yvan Bédard, François Pinet and Michel Schneider
A Framework for the Identification of Integrity Constraints in Spatial Datacubes; Mehrdad Salehi, Yvan Bédard, Mir Abolfazl Mostafavi and Jean Brodeur
3D Building Generalization under Ground Plan Preserving Quality Constraints; Martin Kada, Michael Peter and Yevgeniya Filippovska
Assessing Geometric Uncertainty in GIS Analysis Using Artificial Neural Networks; Farhad Hosseinali, Abbas Alimohammadi and Ali A. Alesheikh
Neural Network Based Cellular Automata Calibration Model for the Simulation of a Complex Metropolis; Hamid Kiavarz Moghaddam and Farhad Samadzadegan
Accuracy Assessment in an Urban Expansion Model; Amin Tayyebi, Mahmoud Reza Delavar, Bryan C. Pijanowski and
Mohammad J. Yazdanpanah
Deciding on the Detail of Soil Survey in Estimating Crop Yield Reduction Due to Groundwater Withdrawal; Martin Knotters, Henk Vroon, Arie van Kekem and Tom Hoogland
Short Notes: A New Method for Integrating Data of Variable Quality into 3-Dimensional Subsurface Models; Kelsey MacCormack and Carolyn H. Eyles
Accuracy Measurement for Area Features in Land Use Inventory; Haixia Mao, Wenzhong Shi and Yan Tian
Granular Computing Model for Solving Uncertain Classification Problems of Seismic Vulnerability; Hadis Samadi Alinia and Mahmoud Reza Delavar
Spatial Variability of Errors in Urban Expansion Model: Implications for Error Propagation; Amin Tayyebi, Mahmoud Reza Delavar, Bryan C. Pijanowski and
Mohammad J. Yazdanpanah
A Stereological Estimator for the Area of Flooded Land from Remote Sensing Images; Alfred Stein, Mamushet Zewuge Yifru and Petra Budde
Assessing Digital Surface Models by Verifying Shadows: A Sensor Network Approach; Cláudio Carneiro, Mina Karzand, Yue M. Lu, François Golay and Martin Vetterli
Evaluation of Remote Sensing Image Classifiers with Uncertainty Measures; Luisa M.S. Gonçalves, Cidália C. Fonte, Eduardo N.B.S. Júlio and Mario Caetano
Short notes: Analyzing the Effect of the Modifiable Areal Unit Problem in Remote Sensing; Nicholas A.S. Hamm, Alfred Stein and Valentyn Tolpekin
Analyzing the Effect of Different Aggregation Approaches on Remotely Sensed Data; Rahul Raj, Nicholas A.S. Hamm and Yogesh Kant
Use of an Airborne Imaging Spectrometer as a Transfer Standard for Atmospheric Correction of SPOT-HRG Data; Debajyoti Bhowmick, Nicholas A.S. Hamm and Edward J. Milton
Liability for Spatial Data Quality; Harlan J. Onsrud
An Example for a Comprehensive Quality Description - The Area in the Austrian Cadastre; Gerhard Navratil and Rainer Feucht
Data Protection, Privacy and Spatial Data; Teresa Scassa and Lisa M. Campbell
Short Note: Harmful Information: Negligence Liability for Incorrect Information; Jennifer Chandler
About the Editors:
Dr. Rodolphe Devillers is an Associate Professor in the Department of Geography at Memorial University of Newfoundland, Canada. His research examines the interface between spatial data quality and decision making —emphasizing communication and the use of data quality information in GIS.
Dr. Helen Goodchild holds a Ph.D. in Archaeology from the University of Birmingham, UK. Her research covers Landscape Archaeology, GIS, and 3D modelling. Dr Goodchild's current research is focused on spatial data quality aspects related to historical and archaeological data.