Logo line and circle on orange, at the same time an eye, a hill, river and water hole, or lines from a topographic map

Time Layered Cultural Map

Systems

Gazetteer of Historical Australian Place Names (GHAP)

Working with Australian National Placenames Survey (ANPS) we have cleaned data, providing well formatted coordinates for around 200,000 of 300,000 placenames within Austrlia. This includes data aggregated from a variety of authoritative sources, and crucially for Humanities, historical placenames never before available as a large, Australia wide collection. Work on GHAP will have 3 phases:

Text Map Text / Recogito

Map corpora of texts. Text Map Text (TMT) will combine functionality of a prototype developed through C21CH at the University of Newcastle (inspired by the Saga Map user interface, combined with a desire to use automated text processing to make this available to all), and the well establish Recogito software of Pelagios, enabling users to automatically generate and edit interactive maps from textual corporate.

TemporalEarth

Visualise maps over time. This project will allow people to import data to create their own maps, similar to Matt Coller's Temporal Earth.

Heurist and Clearing House

Building on Heurist to handle complex data behind maps.

Data Map Tools

Visualise and interact with quantitative data on maps.

HuNI

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.

Topodex

Select a place and find what's there across a vast collection of datasets.

MapToMap

Map associations within and among text, images, audio and video.

Time Layered Cultural Map is funded by the Australian Research Council, PROJECT ID: LE190100019