Yantisa Akhadi

This workshop will introduce two methods on how to identify unmapped highways in OSM. First by making a comparison between OSM and government (open) data, second by calculating the distance between population and OSM highway data. This method will assist OSM contributors to understand where are the unmapped highway without having to manually check the imagery and what is on OSM. The workshop will be delivered using open-source GIS software and publicly accessible data.

OSM evaluation data has been done by many parties on various aspects, starting from tagging correctness until the geometry accuracy. Another aspect that can be evaluated as well as the data coverage. This analysis aims to evaluate how's the good coverage of OSM data, whether OSM has been covering all the area, specifically on the road network data coverage. A good map data ideally can cover the whole area. Thus, the results from this analysis, hopefully, could help the mapper to get an insight into the quality of OSM mapped road network data and identify where are the unmapped areas. There are two methods offered in this analysis. First, OSM data will be compared with the official road network data from a trusted source, such as a dataset released by the government. Second, OSM road network data will be compared with the population distribution to know whether all the populated areas have access to the nearest road network. In the ideal world, all populated areas should have close proximity to the road network, ensuring them having access to public services such as transportation and public facilities. The closer population to the road network, the easier it is. The analysis will be using open-source GIS software, which is QGIS, and a publicly accessible dataset.

Other people: Emiliani Dewi

This talk will present an evaluation of different OSM routing software and its impact on the journey. Several popular OSM routing software results will be evaluated on its route-cost (distance and or time) and different modes of transportation (from walking to motor-vehicle). Additional evaluation on the ground will also evaluate which route is a good (or bad) one and what may cause this impact.

There have been multiples OSM routing services that are available, from offline to online. While this situation gives people many options to choose from it may also confuse people on which service they should choose or use. This talk is an effort to evaluate these services on different modes of transportation. The evaluation is not only on the routing result but also on when the route is used in real-life scenarios. It tries to answer practical questions such as what is the routing service that provides the best result for walking? Or is it better to use Graphopper or OSRM for car navigation? Different OSM routing services will be evaluated using several start-end points and what do the results look like. How do different routing service results in shorter or longer distance/time and what may have caused it? Surely the journey in the real situation will be presented as well. While the answers highly depend on several factors (such as road tag completeness, local road rules, and time of traveling), this talk will be a good overview for the audience that wants to know more about routing services in OSM. No technical knowledge is necessary.

Exploring the visualization of OSM data outside its digital form and how it can be applied to everyday object from book cover to wallpaper. This talk will discuss on how to elevate OSM data beyond maps, exploring its potential in data-as-decor on both public and private space. The talk will describe the tools and workflow on how to create these product as well as its strengths and weakness.

When people describe OSM data, usually it will revolve around its structures, type and geometry. And normally the data will be transform into maps, both in printed and digital format. Yet, we believe that it should not stay that way. Several efforts have been made to transform OSM data into everyday product, from simple things such as book cover, t-shirt design to wallpaper or wall paintings. Its open data license enables vast array of customization into product that some may consider as a work of art without constrained by cost and licensing. We will showcase what have been created by OSM community all around the world from OSM data in everyday objects and several products that we created ourselves for event merchandises (book cover, key chains, sticker, mouse pad, goody bag) and office decoration. For the product that we create we will explain the tools (software and hardware), options for media used and what is the workflow to create such product so that it will inspire the audience to create their own product for their area of interest as well as building geographic identity through design. We want to proliferate OSM data and transform its data beyond maps and explore its potential in non-conventional design.