Some areas of the UK are still missing much detail. When you produce a PDF map from OOMap, they will be at the scale you choose (e.g. The most relevant scales for orienteering are 1:7000 and 1:14000 – these are the scales you will see for the third and fourth-most zoomed in levels (16 and 15), assuming a 72dpi screen. The current scale is displayed on the bottom right of the map. ![]() Alternatively you can jump to a UK postcode, by typing it in at the top right.īecause the maps are based on the “Tile Mapping Service/XYZ” standard, they are viewable only at fixed scales. Pan and zoom to your area of interest, then zoom back in a few times until you start seeing the orienteering map. When first accessing the website, you start zoomed out. Measurements are less likely to be within spec, due to artistic considerations and limits of standard screen resolutions. The Pseud-O map is a less serious map (as the level of detail in OSM is not sufficient for “proper” orienteering maps) but attempts to emulate the look and feel of standard orienteering maps.īoth maps make (loose) use of the ISOM and ISSOM orienteering mapping specifications, particularly the colours and the styling. The Street-O map formats contain the level of detail equivalent to Street-O maps used for informal orienteering races around the streets of London and other urban areas in the UK and around the world. David also maintains a blog on the project. Version 4, a rewrite and update of the project by David Dixon, is now the live version, replacing mine. There are various formats including “Street-O Plus”, “Street-O Lite” and “Pseud-O”. One of the formats that makes use of all the mentioned optimizations is the tiled GeoTIFF format.OpenOrienteeringMap (not to be confused with the new OpenOrienteering Mapper project) is an orienteering map of the world, based on OpenStreetMap data. 256x256 or 512x512 will significantly speed up the processing time.īoth things can be done using command-line tools of the GDAL library, such as gdal_translate. A block size that is similar to the tile output size e.g. MapTiler Engine is the most effective at reading 256x256 blocks of data.įor large raster datasets, a tile-based format (as opposed to scanline-based) will drastically speed up processing. In the vast majority of cases, the overhead of the network connection and protocols for reading the input data over the network introduces a bottleneck that severely impairs processing performance.Īpart from buying more CPUs, you can also reach the speed gain by optimizing your workflow, especially for a large amount of data. Hence, avoid using HDDs, so you allow MapTiler Engine to fully utilize the potential of your machine's CPU.Īlso, processing input data from network shares is discouraged. MapTiler Engine is mainly CPU-intensive, but the storage speed comes right after it. It's highly recommended to use a fast local SSD drive to store the input data. You can check the number of CPUs available in your subscription plan as well as the number of CPUs your machine has by going to Account -> License key. To learn more, please refer to the MapTiler Engine pricing page. continents or the whole world).įor custom needs, we also offer the Enterprise plan, that can be fitted to more complex deployment scenarios. With such power, it is possible to render extremely large datasets (e.g. The Pro version is able to render on 16 CPUs. The Free version is limited to 1 CPU, and MapTiler Engine Plus has a limit of 4 CPUs for rendering. This article provides some tips that might help to improve the performance of the map rendering process. This way MapTiler Engine can provide higher performance even on a dual-core computer. The modern CPUs have multiple cores and support Hyperthreading which provides multiple logical CPUs per core. ![]() MapTiler Engine is a multi-threaded program.
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