Titlebook: Spatial Data Handling in Big Data Era; Select Papers from t Chenghu Zhou,Fenzhen Su,Jun Xu Book 2017 Springer Nature Singapore Pte Ltd. 201

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Using T-Drive and BerlinMod in Parallel SECONDO for Performance Evaluation of Geospatial Big Data Prpatial data. The increase in spatial data has been fueled by the growing availability of ubiquitous mobile devices such as smart phones equipped with GPS, and the awareness of the usefulness of spatial data and digital earth projects. Geospatial data typically contain vector (points, lines, polygons

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A Framework for Event Information Extraction from Chinese News Onlinecurred) from various Chinese news online, and to structure them into a predefined form. The system framework consists of three parts: Data Retrieval Agent (DRA), Document Processing Agent (DPA), Information Extraction Agent (IEA) and Knowledge Base (KB). The EEIES is designed to collect documents to

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Evaluating Neighborhood Environment and Utilitarian Walking Behavior with Big Data: A Case Study in ighborhood environment can encourage walking behavior which is related to individual health. However, because of the difficulty in data collection, most of these studies concentrated on a small scale such as a street or a community. There is a need to do the study in a larger area for analyzing the

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Improving GIScience Visualization: Ideas for a New Methodologyon of cartographic visualization are extremely rich, and also very complex. Successful visualization is often limited by available abilities and capacities to utilize complex symbolization and adequately connect visualization to phenomena and processes. Geographic information patterns and processes

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