Uncertainty Modelling and Quality Control for Spatial Data

Wysyłka: Niedostępna
Sugerowana cena detaliczna 540,00 PLN
Nasza cena: 504,89 PLN
Oszczędzasz 6%
Dodaj do Schowka
Zaloguj się
Przypomnij hasło
×
×
Oferujemy szeroki asortyment - ponad 120 tys. produktów
Dysponujemy solidną wiedzą - działamy już 11 lat
Dbamy o wybór najcenniejszych tytułów

Opis: Uncertainty Modelling and Quality Control for Spatial Data

Offers New Insight on Uncertainty Modelling Focused 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 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 Uncertainty Modelling and Quality Control for Spatial Data 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.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


Szczegóły: Uncertainty Modelling and Quality Control for Spatial Data

Tytuł: Uncertainty Modelling and Quality Control for Spatial Data
Producent: Productivity Press Inc
ISBN: 9781498733281
Rok produkcji: 2015
Ilość stron: 308
Oprawa: Twarda
Waga: 0.62 kg


Recenzje: Uncertainty Modelling and Quality Control for Spatial Data

Zaloguj się
Przypomnij hasło
×
×

Uncertainty Modelling and Quality Control for Spatial Data

Offers New Insight on Uncertainty Modelling Focused 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 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 Uncertainty Modelling and Quality Control for Spatial Data 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.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

Powiadom o dostępności
Podaj swój e-mail a zostaniesz poinformowany jak tylko pozycja będzie dostępna.
×
Cena 540,00 PLN
Nasza cena 504,89 PLN
Oszczędzasz 6%
Wysyłka: Niedostępna
Dodaj do Schowka
Zaloguj się
Przypomnij hasło
×
×

Szczegóły: Uncertainty Modelling and Quality Control for Spatial Data

Tytuł: Uncertainty Modelling and Quality Control for Spatial Data
Producent: Productivity Press Inc
ISBN: 9781498733281
Rok produkcji: 2015
Ilość stron: 308
Oprawa: Twarda
Waga: 0.62 kg


Recenzje: Uncertainty Modelling and Quality Control for Spatial Data

Zaloguj się
Przypomnij hasło
×
×

Klienci, którzy kupili oglądany produkt kupili także:


Zaloguj się
Przypomnij hasło
×
×
Dodane do koszyka
×