Exploring Movement Patterns in Geospatial Big Data

dc.contributor.author	Mudabber Ashfaq
dc.date.accessioned	2020-10-22T11:13:56Z
dc.date.available	2020-10-22T11:13:56Z
dc.date.issued	2016-08-25
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/3471
dc.description.abstract	Due to the daily increase in volume of geospatial data, the need for efficient ways of storing and processing such a massive amount of data is becoming a challenge. The geospatial data usually contain raster satellite images, points of locations, linear features like roads, polygon representing area boundary and trajectories of moving objects etc.	en_US
dc.title	Exploring Movement Patterns in Geospatial Big Data	en_US
dc.type	Thesis	en_US