Geographic Data Science
نویسندگان
چکیده
منابع مشابه
Geographic Data Science
D ata science is an emerging area of work concerned with the task of extracting useful information and gaining insight from large data collections. Methods that scale to big data in terms of volume, variety, velocity, and veracity are of particular interest in data science. Data science methods and approaches address all stages of transition from data to knowledge and action, including data acq...
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The Linked Data paradigm has made significant inroads into research and practice around spatial information and it is time to reflect on what this means for GIScience. Technically, Linked Data is just data in the simplest possible data model (that of triples), allowing for linking records or data sets anywhere across the web using controlled semantics. Conceptually, Linked Data offers radically...
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1. INTRODUCTION Geographic Information Systems (GIS) provide well-developed tools for query, analysis and display of point, line, and polygon data, and there are well-developed communities that use these data types and rely heavily on GIS tools. Many meteorological datasets consist of combinations of time series and grids. Tools for query, analysis and display of these data types are less well ...
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Figure 5: Data modeling from the real world to a database, and from there to digital cartographic models and analogue products for visualization.. Figure 20: Sample (a) region, (b) its binary array, (c) its maximal blocks, and (d) the corresponding quadtree (after SAMET 1990a). IX he first textbook on GIS was published in 1986. Today, we can find dozens of books dealing with GIS. Yet, it is dif...
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Vagueness is prevalent within the geographical domain, yet it is handled poorly in existing ontology approaches. A proposed way to rectify this is to ground the ontology upon the data. By grounding the ontology, we make an explicit link between the ontology and the data, and thus allow reasoning to be made within the context of the particular data. In order to ground the ontology upon the data,...
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ژورنال
عنوان ژورنال: Geographical Analysis
سال: 2019
ISSN: 0016-7363,1538-4632
DOI: 10.1111/gean.12194