AstroGeoInformatics: From Data Acquisition to Further Application

Astro- and geoinformatics face many common challenges in today's data tsunami age. While the previous century had focused predominantly on improving the devices and sensors used for data acquisition, today's challenge revolves around appropriate providing web-based abstraction layers to underlying storage strategies for largely heterogeneous data, with access provided independent of common queries. This chapter presents and critically discusses common data-centered challenges. Furthermore, several application examples are presented and discussed from both areas, astro- and geoinformatics, with a focus on how machine learning is used to analyze large sets of data from both domains. Time series analysis has become one of the most popular approaches within this context.