Open Source Swift Mapping Software

LocationSimulator is a macOS app (10.15.x and later) that allows spoofing the location of an iOS or iPhoneSimulator device. The target audience of this project is developers who want to test their location service-based application. I do not encourage the use of this application to cheat in iOS games and I do not provide support for these games. If you use this application for any purpose outside of the intended, you are on your own.

Uses camera and motion data to map out the local world as you move around. Uses wifi and GPS data to determine your global location, with a low degree of accuracy. Combines the high accuracy of AR with the scale of GPS data. The potential for combining these technologies is huge, with so many potential applications across many different areas.

kmap builds free, detailed maps for any Garmin device (handheld, watch or bike computer) from OpenStreetMap data, on your own computer. Pick a country, a region or a whole continent, press Build, and copy one .img file to the device. The map carries contour lines at the interval you choose, shaded relief and an elevation profile, turn-by-turn routing, address search, day and night colours, and points of interest. Every feature is optional: leave out what your device does not need, and the map gets smaller and faster. Two styles are built in, modelled on Openstreetmap and OpenTopoMap, and kmap can reuse the look of a map you own where its licence allows. Profiles keep a separate set of build settings for each device. kmap runs as a full-screen terminal interface, and every feature is also available from the command line. Map data comes from Geofabrik's OpenStreetMap extracts, updated daily; the tools kmap needs are downloaded on first run.

ARKit uses camera and motion data to map out the local world as you move around. CoreLocation uses wifi and GPS data to determine your global location, with a low degree of accuracy. ARKit + CoreLocation combines the high accuracy of AR with the scale of GPS data. The potential for combining these technologies is huge, with so many potential applications across many different areas. Allow items to be placed within the AR world using real-world coordinates. Dramatically improved location accuracy, using recent location data points combined with knowledge about movement through the AR world. The improved location accuracy is currently in an “experimental” phase, but could be the most important component. The library and demo come with a bunch of additional features for configuration. It’s all fully documented to be sure to have a look around.