Data and Documentation
Status of Framework
The Framework has a complete statewide coverage and is being enhanced on a maintenance schedule with new providers' data, as well to support custom applications.
Update – Nov 7, 2013: The zip files have been updated with statewide QAQC checks on attributes, airports and runways now more complete for the state as a value in the System/SystemClass attributes. Ravalli County provided MSL-GI with their current roads so those features have been updated. Check out the README11-07-2013.txt file for more complete history.
Update - Sept 23, 2013: Blaine County Roads updated from County provided data, Sanders County Roads updated from County provided data. Check out the README09-23-2013.txt file for more complete history. Lots going on to attempt to make the data easier to use for Cartography and labeling. duane
Update – July 29, 2013: Topology for state Framework roads feature class built (exceptions for vertical relationships maintained). Two new attributes added to roads to aid in cartographic representation. Ramps loaded into roads feature class and snapped to proper segments. Also ramps attributed more completely as separate feature class. Sanders County roads incorporated. All in these edtis are in Transportation_FrameworkDRAFT3.zip for preliminary review by users. The May 27 updates are still the official release of the Framework Dataset. thanks, duane
Update – May 27, 2013: Yellowstone County Roads updated from County provided data. (official schema downloads on ftp site).
Distribution - The Framework is available as an Esri geodatabase version 10, version 9.2, shapefile, or as an ArcGIS Server Web Service. Other formats/versions are available upon request by contacting Framework Theme Lead.
The Transportation Theme model contains multi-jurisdictional roads, ramps, bridges and trails features, and supporting tables encompassing Montana. The model is managed through a federated approach, where data from tribal, federal, state, local and private providers is contributed, standardized and then integrated into the model. Using data from these sources assures the best-possible and best-available coverage across the entire state. The layer is continually maturing providing support for a variety of applications.