TLCMap tools are designed to cater for a range of different needs and to be interoperable so that you can move information from one to another. You migh already have spatiotemporal data, or you might want to create it, to modify it, analyse or visualise it, so can start and finish with any tool. Here's an indication of which tools might be useful at each step in an end to end process.
Recogito to create maps from texts.
Quick Coordinates to quickly add coordinates to a list of places in a spreadsheet, or to obtain from from an image such as an old map.
Heurist to create databases and complex information related to places and maps.
HuNI to create and contribute to networks of humanities information (TLCMap enhancements to be undertaken by Nov 2020).
Gazetteer of Historical Australian Placenames (GHAP) to find places by search terms and filters, and/or within certain areas.
Map Finder to search for humanities spatiotemporal datasets (To be undertaken by Dec 2020).
ADA Dataverse and other research data repositories and libraries to find spatiotemporal datasets.
Temporal Earth to visualise change layers of information on a map with a timeline.
Recogito to view text alongside interactive maps of placenames within it.
Ordinal Time to view the order in which places occur, such as the order they occur in a text, or in which they must be visited on a journey, without necessarily having specific dates.
Cyclical Time to view events that occur in cycles. (to be complete by Dec 2020)
Spatiotemporal Metrics to relatively easily obtain basic statistics and network clustering information about spatiotemporal data, enabling comparison, identification of unseen patterns and quantitative demonstrations. (The current version is a prototype only. A full version will be ready October 2020)
The ability to export data from TLCMap systems in standard formats such as CSV, KML and GeoJSON allows for further analysis in Excel or statistical applications.
Describo and ROCrate for creating long term packages of research data and information for archiving, with features for spatiotemporal data. If you are not sure where to archive research data, we recommend ADA Dataverse. This will be indexed by the Map Finder so any user of Map Finder or other systems ADA Dataverse is indexed by, such as ARDC can find your research.
Gazetteer of Historical Australian Placenames (GHAP) for adding research data involving placenames to. We particularly welcome historical research to add not only new placenames but further attestations of placenames already in the gazetteer. People can use GHAP not only to search for placenames but to ask, generally "What's here?" and points in your data can be part of the reply.
Visualisations (above) also can be used to share and for public engagement.
The following are some examples of the systems you might use in order to work with various types of media, with maps of various kinds, and with various purposes in mind. See also the FAQs. Sometimes you may only want one system for a task, but it's likely you will want to create and process spatiotemporal information through a few different systems.
HuNI for creating and connecting networks of humanities information.
Spatiotemporal Metrics for basic identification and analysis of clustering and basic network metrics in spatiotemporal data.