基于通用数据模型的大数据环境下地理信息系统的实现

Dávid Sik, K. Csorba, P. Ekler
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引用次数: 11

摘要

本文介绍了在CV4SensorHUB (SensorHUB的计算机视觉)框架下GIS(地理信息系统)研发子系统的实现。主要概念是使用和连接开放访问的在线数据库,如OpenStreetMaps, citybike .es, BKK Futár, MÁV Elvira等。这些数据库涵盖地理领域的不同领域。通过将这些数据库与MapReduce范例连接起来,并实现智能算法,我们将创建一个在线工具,用户可以使用实时信息参数化他们在城镇周围的旅行,然后在地图上可视化。例如,使用OpenStreetMaps可以提取地图,街道,poi(兴趣点),然后使用citybike .es我们可以获得有关公共自行车共享系统的实时数据,使用BKK Futár我们可以访问实时公共交通数据,车辆,时间表。本文重点介绍了该系统的数据源、体系结构及其通用数据模型,以及系统的主要实现步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a geographic information system with big data environment on common data model
We introduce an implementation of a GIS (Geographic Information System) research and development subsystem in the CV4SensorHUB (Computer Vision for SensorHUB) framework. The main concept is the usage and connection of open-access online databases such as OpenStreetMaps, Citybik.es, BKK Futár, MÁV Elvira and others. These databases cover different fields in the geographic domain. By connecting these databases with MapReduce paradigm and implementing smart algorithms, we are about to create an online tool where users could parametrize their trips around the town, using the live information and then visualize them on a map. For example, with the OpenStreetMaps it is possible to extract the maps, streets, POIs (point of interest), then with the Citybik.es we can get the live data about public bicycle sharing system, and with the BKK Futár we can access the live public transportation data, vehicles, timetables. In this paper, we focus on the data sources, the architecture with its common data model, and the main implementation steps of the system.
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