The goal of the project is to research new technologies and ways to create high speed and high performance applications in order to deal with GeoSpatial data. The research data set used is GEO-located Tweets. Twitter is chosen for its high data amount, accessibility and because of its relevance to cellular network optimization. Beyond the research part of the project, the end product will be used to increase cellular trace accuracy through the use of the highly accurate GEO-located-Tweets.The result of the final product is showing great potential. An interactive web map rendering 700 million Tweets up to a 10 by 10 meter resolution within seconds, while also allowing the user to pan and navigate the map without any performance issues. The scope of the project includes the entire process, from aggregating Tweets with a Java program, storing them in a PostgreSQL+PostGIS database, creating maps and GIS-files with MapServer, to presenting Maps and serving downloadable files in a Django web application utilizing OpenLayers. The used procedures are explained and justified in great detail throughout this report. All products used in the project are licensed under the open source initiative and are therefore free to use by anyone. The report also includes suggestions, relevant products, research projects and algorithms for future development and research.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-233223 |
| Date | January 2014 |
| Creators | Schneider, Simon |
| Publisher | Uppsala universitet, Institutionen för teknikvetenskaper |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TVE ; 14 057 |
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