Abstract
Data literacy is an essential skill for today’s digital way of life, to be able to judge the reliability of different data presented, for instance in news and media or in business processes. Geo-Spatial data are a specific kind of data and influence most of our daily decisions. In school one learns how to critically read and reflect texts and literature. So one is literate in the case of textual data. For other data, and especially geo-spatial data, one seems to be less skilled. This contribution is supposed to open one’s eyes to understand the origin of geo-spatial data sets, their specific nature and how to gain geo-spatial data sets with specific focus on economic applications. In addition to that, how the selection of geo-spatial data and the processing of geo-spatial data can influence the decision-making of people in thematic fields such as economy and business is discussed. The overall goal is to make people of disciplines other than those that are geo-related aware of the characteristics and possible ways of manipulation of maps and geo-spatial products as well as of the power of geo-spatial data and map products in their specific thematic field of operation.
Highlights
Todays digital way of life needs geo-spatial information for profound business decisions and to be able to judge the reliability of different data presented, for instance, in news and media related to business processes
Geo-spatial data are a specific kind of data and users need specific data literacy skills to effectively work with them
The definition of a nomenclature for information extraction from image data needs to be adapted to the data type and its characteristics. This contribution was supposed to open ones eyes to understand the origin of geo-spatial data sets, their specific nature and how to gain geo-spatial data sets with specific focus on economic applications
Summary
Todays digital way of life needs geo-spatial information for profound business decisions and to be able to judge the reliability of different data presented, for instance, in news and media related to business processes. Digital data are available almost everywhere, e.g., on mobile devices, and strongly influence our daily life, e.g., with location-based services [1]. Geo-spatial data (e.g., maps) are a specific kind of data that could be used to manipulate peoples’ opinions. Due to their enormous influence on ones decisions—in logistics [3], for instance—one needs skills to judge the different types of data for their information content and reliability. One should be aware and literate to transform economic data into a geo-spatial context, to analyze those thematic data sets and present results in a proper manner
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