It contains the full detail layer of the extents for certified speed limit records from 26 May 2022 onwards, and their associated attribute data.Previously, 68 different road controlling authorities (RCAs) published this information in multiple formats.You can use the data for:time-based analysisanalysis against other datasets, for example addressesbuilding additional datasets.The data is extracted from the NSLR on a nightly basis.New emergency speed limits are updated in this dataset shortly after being created in the NSLR.Note: speed limit record geometries (shapefiles) will overlap. This will be in addition to overpasses, underpasses, intersections, bus lanes, opposing speed differences and multiple speeds in the same direction. For example, if you have an overpass one speed limit will be given for the top level (bridge) and the second overlapping geometry for the bottom level (I.e. road under bridge).Permanent speed limit: A speed limit that’s in force except when a seasonal, variable, temporary - emergency or other temporary speed limit is in force.Variable speed limit: A speed limit that changes under certain conditions (excluding seasonal), for example due to the presence of a school where the speed limit is different at certain times of the day depending on the school activity.Seasonal speed limit: A speed limit that applies on a seasonal basis, for example during a holiday period. Seasonal speed limits can be one-off or recurring.Emergency speed limit: A speed limit put in place due to an emergency, for example an earthquake, tsunami or epidemic.The principles for how the speed limits interact with each other are as follows.Permanent and variable speed limits cannot overlap one another.A seasonal speed limit can overlap permanent and variable speed limits.A seasonal speed limit can overlap another seasonal speed limit, as long as the speed limit is not active at the same time as the record it is overlapping (i.e.one seasonal speed limit cannot overlap another seasonal speed limit).An emergency record can overlap a seasonal record but cannot overlap another emergency record.Temporary speed limits, other than emergency, are not included in this dataset.Members of the public can search for speed limits on New Zealand roads, obtain details of specific speed limits and obtain certified copies of speed limits through the NSLR web application. NSLR web browser applicationData reuse caveatsAs per license.Data quality statementRCAs signed off that the data in the NSLR is a true and accurate reflection of their bylaw. There is a high level of confidence in data quality, and we welcome user feedback.Data quality caveatsThe data has been migrated as provided by respective RCAs according to their current bylaw. There are errors as a result of having to migrate the legal speed limits as per the bylaw rather than what is signed on the ground. Many (but not all) of these were identified and RCAs can apply for Director’s approval to fix them.There is two known issues with the display of this data in Open Data, these are display issues within the Open Data application and do not impact the data when downloaded or used via API:Where there is no date 'December 31, 1969' is shown.Where there is no text 'null' is shown

Speed LimitsAuckland Transport is also responsible for reviewing Speed Limits of the road network and if speeds are found to be unsafe, AT is obliged to set new safe and appropriate speeds. Data attributes include Road ID, Road Name, current speed limit and Length (Road length).Update Frequency: WeeklyContact: Auckland Transport Safe Speeds Programme Spatial Coverage: Auckland Region

Speed Limit data is obtained from road position measurements. The most accurate representation of the extent of each speed zone is by the road position measurement. The spatial data presented here has been converted to a 2 dimensional representation and as such has reduced accuracy. The attribute 'Enforcement' shows the date in which the speed limit change was initiated. The speed limits are review information can be obtained here https://www.waikatodistrict.govt.nz/services-facilities/roads-travel-and-parking/roads-and-transport/speed-limit-amendments

This is an Australian extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).AWS data licence is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.A world speedtest open data was dowloaded (>400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).A Jupyter notebook of extract process is attached.See Binder version at Github - https://github.com/areff2000/speedtestAU.+> Install: 173 packages | Downgrade: 1 packages | Total download: 432MBBuild container time: approx - load time 25secs.=> Error: Timesout - BUT UNABLE TO LOAD GLOBAL DATA FILE (6.6M lines).=> Error: Overflows 8GB RAM container provided with global data file (3GB)=> On local JupyterLab M2 MBP; loads in 6 mins.Added Binder from ARDC service: https://binderhub.rc.nectar.org.auDocs: https://ardc.edu.au/resource/fair-for-jupyter-notebooks-a-practical-guide/A link to Twitter thread of outputs provided.A link to Data tutorial provided (GitHub), including Jupyter Notebook to analyse World Speedtest data, selecting one US State.Data Shows: (Q220)- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.See tweet of image of centroids also attached.NB: Discrepancy Q2-21, Speedtest Global shows June AU average speedtest at 80Mbps, whereas Q2 mean is 52Mbps (v17; Q1 45Mbps; v14). Dec 20 Speedtest Global has AU at 59Mbps. Could be possible timing difference. Or spatial anonymising masking shaping highest speeds. Else potentially data inconsistent between national average and geospatial detail. Check in upcoming quarters.NextSteps:Histogram - compare Q220, Q121, Q122. per v1.4.ipynb.Versions:v38: Added AUS Q324 (92k lines avg d/l 107.0 Mbps u/l 20.79 Mbps). Imported using v2 Jupiter notebook (iMac 32Gb). Mean tests: 17.7. Mean devices: 5.33.Added github speedtest-workflow-importv2vis.ipynb Jupyter added datavis code to colour code national map. (per Binder on Github; link below).v37: Added AUS Q224 (91k lines avg d/l 97.40 Mbps u/l 19.88 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.1. Mean devices: 5.4. v36 Load UK data, Q1-23 and compare to AUS and NZ Q123 data. Add compare image (au-nz-ukQ123.png), calc PlayNZUK.ipynb, data load import-UK.ipynb. UK data bit rough and ready as uses rectangle to mark out UK, but includes some EIRE and FR. Indicative only and to be definitively needs geo-clean to exclude neighbouring countries.v35 Load Melb geo-maps of speed quartiles (0-25, 25-50, 50-75, 75-100, 100-). Avg in 2020; 41Mbps. Avg in 2023; 86Mbps. MelbQ323.png, MelbQ320.png. Calc with Speedtest-incHist.ipynb code. Needed to install conda mapclassify. ax=melb.plot(column=...dict(bins[25,50,75,100]))v34 Added AUS Q124 (93k lines avg d/l 87.00 Mbps u/l 18.86 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.3. Mean devices: 5.5.v33 Added AUS Q423 (92k lines avg d/l 82.62 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.0. Mean devices: 5.6. Added link to Github.v32 Recalc Au vs NZ for upload performance; added image. using PlayNZ Jupyter. NZ approx 40% locations at or above 100Mbps. Aus