Fascinating article from Nai Yang, Junpeng Lv and colleagues, exploring and testing different non-contact ways of interacting with computer based maps, including eye tracking, voice, head movement and facial expression control, doi.org/10.1080/152304… #GISchat

New article! Gang Chen and colleagues introduce NIM: an AR story map framework for representing spatiotemporal contexts in history, doi.org/10.1080/152304… #GISchat

Great new article from Xinyu Niu and Haizhong Qian, presenting new ways of generalising multi-scale buildings using iterative methods #GISchat doi.org/10.1080/152304…

Fantastic new paper in CaGIS from Mona Bartling analysing user mobile map adaption in a VR navigation study doi.org/10.1080/152304… #GISchat #OpenAccess #ReproducibleResearch Inc a preregistration report aspredicted.org/K5N_C5V and supplied Rmd files osf.io/xfu34

Great new article from Liu Hanyou and Mao Xi looking at new ways of translating names of geographical entities by identifying relationships between places, such as the example below doi.org/10.1080/152304… #GISchat #OpenAccess

Great new article from Zhekun Huang +colleagues, using Topology Adaptive Graph Convolutional Networks to identify multi-lane highways from road data doi.org/10.1080/152304… #GISchat Below, in purple correctly classified Multi Lane Roads & in yellow/blue incorrectly classified MLR

Great new paper from Nai Yang and colleagues, presenting MapColorAI: designing contextually relevant choropleth map color schemes using a large language model, check out the screenshot below, video at figshare.com/articles/datas… and paper at doi.org/10.1080/152304…

Many thanks to the reviewers and CaGIS editors!

If you are at the ICC in Vancouver, stop by the CaGIS booth and say hello!

New article from our ICC 2023 special issue, Shengkai Wang and colleagues evaluate the effectiveness of X-ray vision: Seeing through walls: indoor spatial learning with X-ray vision-enabled mixed reality #GISchat #OpenAccess doi.org/10.1080/152304…

New paper from Jian Yang and colleagues, presenting MapLayNet, a way of understanding maps as a graph and classifying how they are laid out, with the aim of better map layout retrieval and design recommendation #GISchat #OpenAccess doi.org/10.1080/152304…