Deep Maps
Work on TLCMap will commence in 2019 and continue into 2020.
'Deep' mapping involves over laying information from multiple sources, adding 'depth' to a normally 2 dimensional map, and to our understanding of complex relationships about places. In many cases this can simply involve importing well formatted geodata into a mapping system, but things can get more complicated, requiring relational databases and complex networks, with various kinds of visualisation, and when viewing changes over time.
To aid in deep mapping we provide ways to discover, wrangle, clean, add to or create subsets of spatiotemporal data, with a humanities focus.
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Associate 'entities' or data 'records' with each other to build networks
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Explore and connect networks of data at large or micro scale
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Search for datasets by area or metadata
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Search across datasets for all points within an area
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Contribute geocoded data sets
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Combine and customise selected datasets
Systems
- HuNI provides a meta search of curated humanities datasets, enabling you to build a collection, and to establish complex networks among entities. These networks can be visualised, explored and interconnected leading to serendipitous discovery. TLCMap will extend HuNI capability to include maps and geocoding for visualisation of networks of places and events on a map, allowing import and export of data, and the ability to connect to entities within and outside of HuNI.
- The Heurist Clearing House will enable people to discover, aggregate, add to or create subsets of data from various sources in compatible formats, and then to add them to a map or make the resulting curated set available on the web.
- Topodex will be an experimental index of a vast amount of spatiotemporal points from within many datasets, searchable by selecting regions of map. It should enable people to find anything related close to a place of interest, within a selected region and to navigate to the full information for any item of interest. This is experimental as we need to test feasibility first.
