Comparative study of Spatial Hadoop and Geospark for Geospatial Big Data Analysis

Abstract

 Earth Observation (EO) is constantly producing large amount of Geospatial data over the last few years which is used in resource monitoring, protection of environment and disaster predictions. The applications like Ground surveying, remote sensing and mobile mapping produces geo-spatial data. The growth of EO data has been a challenge in recent approaches for data management and processing. For Big data scenario Geospatial data are the major contributors. There are various tools for analysis of big data that can support large amount of geospatial big data. The main aim of this paper is to do the comparative analysis of Spatial Hadoop and GeoSpark which are the most popular open source geospatial big data analytical tools and they can be used for observing and processing the geospatial big data in an accurate way. The architectural view of Spatial Hadoop and GeoSpark are also compared in this paper