An Interactive Web-mapped Dashboard for Better Visualization of Geospatial Big Data

Keywords: map dashboard, web map, web cartography
Abstract Type: Paper Abstract

Abstract

We live in an era where data has never been generated as fast as it is today with an incredibly high volume. Among various types of data, geospatial data is compelling that it can provide us with a deeper understanding of the problem, answer questions, and make predictions. However, the progressively larger volume and increasingly complex data structure with higher dimensions have challenged researchers and geographers for efficient and feasible geovisualization. Map-based web applications have been attracting researchers to support the visualization of geospatial big data and consequently understand the large volume of geospatial data with complicated relations. Moreover, it helps users and audiences acquire knowledge and insights easily for actionable decision-making. Due to its significant importance in geovisualization, there have been an increasing number of papers published and web applications developed using geospatial data. Though, most of the recent papers focus on methodologies and applications. This indicates that having a driver as technology, map-based web applications are gradually becoming mature, but still have much room to grow. Further, as most works and publications are mainly methodologies and applications-oriented, there is a need for developing and providing a comprehensive map-based web application dashboard. In this study, I propose a comprehensive web-mapped dashboard, for interactively visualizing high-dimensional geospatial big data.