Big Historical Geodata for Urban and Environmental Research

Hendrik Herold ()
Additional contact information
Hendrik Herold: Leibniz Institute of Ecological Urban and Regional Development

Chapter Chapter 18 in Handbook of Big Geospatial Data, 2021, pp 475-486 from Springer

Abstract: Abstract Historical geoinformation is a valuable resource for various scientific disciplines, ranging from urban and environmental research to the emerging field of digital humanities. This chapter elucidates potentials and applications of big geospatial data which it has recently become possible to automatically retrieve from historical records. Large volumes of historical textual and cartographic documents are currently being made digitally accessible by libraries and other institutions. With the help of computer vision and image analysis techniques, the hitherto only implicitly, i.e. human-readable, contained historical geoinformation can be made machine-readable and can hence be spatiotemporally analyzed and associated with current big geospatial databases filled with satellite imagery, digital maps or user-generated geocoded content. The chapter begins with an overview of existing geohistorical data sources and processing approaches and describes challenges posed by the sheer number and diversity of the sources. The main part is dedicated to potentials and applications of the derived geoinformation in the various environmental research domains, such as long-term land change monitoring, sustainability research, and Earth system modeling for studying the complex human-environment interactions between land, climate change, ecosystem and biodiversity changes during the Anthropocene.

Keywords: Big Historical Data; Map Processing; Environmental Research (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-55462-0_18

Ordering information: This item can be ordered from
http://www.springer.com/9783030554620

DOI: 10.1007/978-3-030-55462-0_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().