{"product_id":"uncertainty-modelling-and-quality-control-for-spatial-data","title":"Uncertainty Modelling and Quality Control for Spatial Data","description":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eOffers New Insight on Uncertainty Modelling\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFocused on major research relative to spatial information, \u003cstrong\u003eUncertainty Modelling and Quality Control for Spatial Data \u003c\/strong\u003eintroduces 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\u003cstrong\u003e \u003c\/strong\u003ebook launches into areas that are rarely addressed. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTopics covered include:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cli\u003eNew developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eSpatial statistical solutions in spatial data quality\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eEliminating systematic error in the analytical results of GIS applications\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eA data quality perspective for GIS function workflow design\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eData quality in multi-dimensional integration\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eResearch challenges on data quality in the integration and analysis of data from multiple sources \u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eA new approach for imprecision management in the qualitative data warehouse\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eA multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e\u003cli\u003eAn analysis on the uncertainty of multi-scale representation for street-block settlement\u003c\/li\u003e \u003cbr\u003e\u003cbr\u003e \u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003e\u003cp\u003eUncertainty Modelling and Quality Control for Spatial Data \u003c\/p\u003e\u003c\/strong\u003eserves 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45589114192110,"sku":"9780367377144","price":104.8,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780367377144.jpg?v=1721218767","url":"https:\/\/bookland.com.au\/products\/uncertainty-modelling-and-quality-control-for-spatial-data","provider":"Book Land AU","version":"1.0","type":"link"}