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Ecosystem Function in Heterogeneous Landscapes

of spatial structure. The book elucidates the challenges faced by ecosystem scientists working in spatially heterogeneous systems, relevant;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and;

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Spatial Data Management

Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric;

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A Graph Theoretic Approach to Heterogeneous Data Clustering

is threefold: homogeneous clustering of images, pairwise heterogeneous data co-clustering, and high-order star-structured heterogeneous data co;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Web-Age Information Management

selected from a total of 248 submissions. The papers are organized in topical sections on data mining; information integration and heterogeneous;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Spatial Data Handling in Big Data Era

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial;

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Advances in Geo-Spatial Information Science

-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and;

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Toward a Coordinated Spatial Data Infrastructure for the Nation

The National Spatial Data Infrastructure (NSDI) is the means to assemble geographic information that describes the arrangement and;

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Spatial Data Handling in Big Data Era

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial;

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Next Generation Geospatial Information

-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made;

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The 3-D Global Spatial Data Model

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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The 3D Global Spatial Data Model Principles and Applications, Second Edition

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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Scalable Processing of Spatial-Keyword Queries

tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data;

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Scalable Processing of Spatial-Keyword Queries

tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data;

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Spatial Econometrics using Microdata

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on;

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

larger and more diverse research agenda around data system solutions for heterogeneous data. The DMAH 2018 Workshop aims to foster exchange;

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Geographical Data Science and Spatial Data Analysis

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it;

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Spatial Information Theory

following topics are addressed: spatial change, wayfinding and assistance, representing spatial data, handling language data, spatial language and;

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Spatial Data Analysis

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data;

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Spatial Big Data Science

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management;

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Advancing Strategic Science

Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS;

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Quality Aspects in Spatial Data Mining

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing;

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