Geo-spatial Big Data Mining Techniques

Abstract

As stated in literature by several authors, there has been literally big-bang explosion in data acquired in recent times. This is especially so about the geographical or geospatial data. The huge volume of data acquired in different formats, structured, unstructured ways, having large complexity and non-stop generation of these data have posed an insurmountable challenge in scientific and business world alike. The conventional tools, techniques and hardware existing about a decade ago have met with the limitations in handling such data. Hence, such data are termed as big data. This has necessitated inventing new software tools and techniques as well as parallel computing hardware architectures to meet the requirement of timely and efficient handling of the big data. The field of data mining has been benefitted from these evolutions as well. This article reviews the evolution of data mining techniques over last two decades and efforts made in developing big data analytics, especially as applied to geospatial big data. This is still a very actively evolving field. There will be no surprise if some new techniques are published before this article appears in print.

Multi-dimensional geospatial data mining in a distributed environment using MapReduce

“…Finally the operation layer in reduce some basic spatial operations like range query, K-Nearest Neighbours (kNN), and spatial join, etc. SpatialHadoop is meant for the spatial data but it support only supports single dimension vector data and it does not have any of the data mining (classification and clustering) techniques listed above which may be required for processing satellite imagery [3].…”

Research and Practice on Spatio-Temporal Big Data Cloud Platform of the Belt and Road Initiative

“…Online web maps, MapWorld TM of China or Google Maps, Bing Maps for example, push the usage of global online maps and real time location services to the public in mobile devices since various applications of LBS (location base service). In recent years, some kinds of online map to the public, to the government and to the enterprises have been built for the whole country, some provinces or some cities in China (Chen, 2009;Li, 2013;Alkathiri, 2016). Since different period spatial information services and various functional services are aggregated and published in it, it is also called spatio-temporal big data service platform.…”