| Titre : |
Uncertainty modelling and quality control for spatial data |
| Type de document : |
Monographie |
| Auteurs : |
Wenzhong Shi, Editeur scientifique ; Bo Wu, Editeur scientifique ; Alfred Stein, Editeur scientifique |
| Editeur : |
Boca Raton, New York, ... : CRC Press |
| Année de publication : |
2016 |
| Collection : |
Environmental Science |
| Importance : |
294 p. |
| Format : |
16 x 24 cm |
| ISBN/ISSN/EAN : |
978-1-4987-3328-1 |
| Langues : |
Anglais (eng) |
| Descripteur : |
[Vedettes matières IGN] Bases de données localisées
[Termes descripteurs IGN] données multidimensionnelles
[Termes descripteurs IGN] données satellite
[Termes descripteurs IGN] incertitude de mesurage
[Termes descripteurs IGN] incertitude des données
[Termes descripteurs IGN] intégration de données
[Termes descripteurs IGN] modèle d'incertitude
[Termes descripteurs IGN] qualité des données
|
| Index. décimale : |
37.10 Bases de données géographiques |
| Résumé : |
(Editeur) Focused on major research relative to spatial information, this book introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed.
Topics covered include: New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis, Spatial statistical solutions in spatial data quality, Eliminating systematic error in the analytical results of GIS applications, A data quality perspective for GIS function workflow design, Data quality in multi-dimensional integration, Research challenges on data quality in the integration and analysis of data from multiple sources, A new approach for imprecision management in the qualitative data warehouse, A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach, An analysis on the uncertainty of multi-scale representation for street-block settlement.
This book serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods. |
| Note de contenu : |
UNCERTAINTY MODELLING AND QUALITY CONTROL
- Uncertainty-Related Research Issues in Spatial Analysis / Daniel A. Griffith, David W. Wong, and Yongwan Chun
- Spatial Statistical Solutions in Spatial Data Quality to Answer Agricultural Demands Based on Satellite Observations / Alfred Stein, Muhammad Imran, and Milad Mahour
- Eliminating Systematic Error in Analytical Results of GIS Applications / N. Chrisman and J.-F. Girres
- Function Workflow Design for Geographic Information System: A Data Quality Perspective / J.-H. Hong and M.-L. Huang
UNCERTAINTIES IN MULTIDIMENSIONAL AND MULTISCALE DATA INTEGRATION
- Data Quality in the Integration and Analysis of Data from Multiple Sources: Some Research Challenges / J. Harding, L. Diamond, J. Goodwin, G. Hart, D. Holland, M. Pendlington, and A. Radburn
- Quality Management of Reference Geoinformation / A. Jakobsson, A. Hopfstock, M. Beare, and R. Patrucco
- A New Approach of Imprecision Management in Qualitative Data Warehouse / F. Amanzougarene, M. Chachoua, and K. Zeitouni
- Quality Assessment in River Network Generalisation by Preserving the Drainage Pattern / Zhang and E. Guilbert
QUALITY CONTROL FOR SPATIAL PRODUCTS
- Quality Control of DLG and Map Products / Pei Wang, Zhiyong Lv, Libin Zhao, and Xincheng Guo
- VGI for Land Administration: A Quality Perspective / Gerhard Navratil and Andrew U. Frank
- Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods / Wenzhong Shi, Bin Wang, and Eryong Liu
- Automatic Method of Inspection for Deformation in Digital Aerial Imagery Based on Statistical Characteristics / Yaohua Yi, Yuan Yuan, Hai Su, and Mingjing Miao
- Comparison of Point Matching Techniques for Road Network Matching / A. Hackeloeer, K. Klasing, J. M. Krisp, and L. Meng
UNCERTAINTIES IN SPATIAL DATA MINING
- Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data Misuse / J. Grira, Y. Bedard, and S. Roche
- Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Neighborhood Systems / F. Khamespanah, M.R. Delavar, and M. Zare
- Increasing the Accuracy of Classification Based on Ant Colony Algorithm / Ming Yu, Chen-Yan Dai, and Zhi-Lin Li |
| Numéro de notice : |
22628 |
| Affiliation des auteurs : |
non IGN |
| Thématique : |
GEOMATIQUE |
| Nature : |
Recueil / ouvrage collectif |
| Permalink : |
https://documentation.ensg.eu/index.php?lvl=notice_display&id=83456 |
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