The financially constrained element of Visualize 2045 identifies all the regionally significant capital improvements to the region’s highway and transit systems that transportation agencies expect to make and to be able to afford through 2045.For more information on Visualize 2045, visit https://www.mwcog.org/visualize2045/.To view the web map, visit https://www.mwcog.org/maps/map-listing/visualize-2045-project-map/.* NOTE: the online map shows projects in the current version of the plan (2022 update); this data download is for the 2018 update to the plan.Adding GIS Data to ArcMap from a Map Package:To load the .mpk file if saved locally: From Windows Explorer1. Browse to the location of the .mpk file. 2. Double-click the file to launch ArcMap and unpack all the data in the package. From ArcCatalog1. Browse to the location of the .mpk file. 2. Right-click the file, and select Unpack. This action launches ArcMap and unpacks the data in the package. The process is the same if you are using ArcCatalog from within ArcMap.Note: The .mpk file cannot be opened within ArcMap.Regardless of where the .mpk file is stored originally, the data within the map package when unpacked saves on your hard drive in the Documents and Settings folder:C:\Documents_and_Settings\MyDocuments\ArcGIS\Packages*.gdb

• Click 'More' to view details on this dataset. Download data via the 'Download Dataset' button ** ** Download the ZIP file, not the spreadsheet (empty dataset) ****Data packaged as an ArcGIS Map Package; available for download and use in ArcGIS Desktop version 10.x**Download Map Package file:The dataset is shared as a ZIP file (2016CLRP_data.zip). Save this file in your preferred location. Unzip the downloaded file and you will see the Map Package, 2016CLRP_data.mpk. Adding GIS Data to ArcMap from a Map Package:To load the .mpk file if saved locally: From Windows Explorer1. Browse to the location of the .mpk file. 2. Double-click the file to launch ArcMap and unpack all the data in the package. From ArcCatalog1. Browse to the location of the .mpk file. 2. Right-click the file, and select Unpack. This action launches ArcMap and unpacks the data in the package. The process is the same if you are using ArcCatalog from within ArcMap.Note: The .mpk file cannot be opened within ArcMap.Regardless of where the .mpk file is stored originally, the data within the map package when unpacked saves on your hard drive in the Documents and Settings folder:C:\Documents_and_Settings\MyDocuments\ArcGIS\Packages*.gdbWhat is the CLRP?The CLRP identifies all of the regionally significant capital improvements to the region’s highway and transit systems that area transportation agencies expect to make and to be able to afford over the next 20 plus years. It also outlines all anticipated spending on operations and maintenance of the current and future transportation system over the same time frame. Over 500 projects are included, ranging from simple highway landscaping to billion-dollar highway and transit projects. Some of the projects will be completed in the near future, while others are only in the initial planning stage.For more information on the CLRP, visit the TPB's CLRP webpage.To see the latest CLRP news, click here.

This .zip file contains four products that will allow users to recreate the analyses and spatial data figures used in Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska: 1) Autoclass input and output files (provided as folders with multiple simple text files), 2) Classification data (.csv file) for individual watersheds, including Fundamental Daily Streamflow Statistics, landcover variables, and class membership, 3) Esri map package (.mpk file) that will allow users to recreate Figures 3 and 5 using ArcGIS and extract basic watershed-scale data such as watershed ID, drainage area, primary class assignment, and primary class membership probability (for users interested in extracting more information such as secondary class membership and landcover data, Watershed ID in this file can be cross-referenced with Watershed ID in the .csv file above), and 4) R Shiny Application (provided as a folder with app.R file and other supporting files) to create Figure 3 map and extract classification and land cover variables for individual watersheds (this is also viewable at: https://southeastakwatershedcoalition.shinyapps.io/watershed_classification/)