This crash dataset was generated in June 2023 and includes those crashes along State Route 4 up until that point. The dataset was uploaded to ArcGIS Online to allow for further review of potential changes to the GIS Crash Dataset(s). The feature layer visualization by default will show the crashes aggregated by the predominant crash type along the corridor. The aggregation settings can be toggled off if desired and crashes can be viewed by the type of crash. Both the aggregation and standard Feature Layer configurations do include popup settings that have been configured.As mentioned above, the Feature Layer itself has been configured to include a standard unique value renderer based on Crash Type and the layer also includes clustering aggregation configurations that could be toggled on or off if the user were to add this layer to a new ArcGIS Online Map. Clustering and aggregation options in ArcGIS Online provide functionality that is not yet available in the latest version of ArcGIS Pro (<=3.1). This additional configuration includes how to show the popup content for the cluster of crashes. Users interested in learning more about clustering and aggregation in ArcGIS Online and some more advanced options should see the following ESRI article (https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/summarize-and-explore-point-clusters-with-arcade-in-popups/).Popups have been configured for both the clusters and the individual crashes. The individual crashes themselves do include multiple tables within a single text element. The bottom table does include data items that pertain to at a maximum of three units for a crash. If a crash includes just one unit then this bottom table will include only 2 columns. For each additional unit involved in a crash an additional column will appear listing out those data items that pertain to that unit up to a maximum of 3 units. There are crashes that do include more than 3 units and information for these additional units is not currently included in the dataset at the moment. The crash data items available in this Feature Layer representation includes many of the same data items from the Crash Layer (10 Years) that are available for use in Maine DOT's Public Map Viewer Application that can be accessed from the following link(https://www.maine.gov/mdot/mapviewer/?added=Crashes%20-%2010%20Years). However this crash data includes data items that are not yet available in other GIS Crash Departments used in visualizations by the department currently. These additional data items can be aggregated using other presentation types such as a Chart, but could also be filtered in the map. Users should refer to the unit count associated to each crash and be aware when a units information may not be visible in those situations where there are four or more units involved in a crash.

CUD Plan Review Application Survey 123 app was created from the advanced Survey 123 xls templates

This 1-meter impervious surface mapping from the National Oceanic and Atmospheric Administration (NOAA) represents the next generation of high-resolution Coastal Change Analysis Program (C-CAP) land cover data for the nation’s coastal areas. The data are useful at the local level to aid in planning for sea level rise, protecting communities from flooding, informing wetland restoration projects, and enabling other planning activities. Advanced artificial intelligence combined with expert human analysis, review, and editing were used to produce these high-quality, standardized, raster-based map products. Data is available from NOAA's Office for Coastal Management (OCM), through its Digital Coast website.This image service displays the high resolution land cover data for impervious surface features. Dates of the imagery used to generate the land cover data range from 2020 to 2023. Attributes for this product are as follows: 0 = background, 1 = developed impervious, 10 = no data. Image services are also available for high resolution land cover data representing tree and shrub canopy as well as open water for U.S. coastal areas.Visit the C-CAP High Resolution Land Cover data page on NOAA's Digital Coast to learn more about the data and products available as well as access data download options. .

This 1-meter tree and shrub canopy mapping from the National Oceanic and Atmospheric Administration (NOAA) represents the next generation of high-resolution Coastal Change Analysis Program (C-CAP) land cover data for the nation’s coastal areas. The data are useful at the local level to aid in planning for sea level rise, protecting communities from flooding, informing wetland restoration projects, and enabling other planning activities. Advanced artificial intelligence combined with expert human analysis, review, and editing were used to produce these high-quality, standardized, raster-based map products. Data is available from NOAA's Office for Coastal Management (OCM), through its Digital Coast website.This image service displays the high resolution land cover data for tree and shrub canopy features. Dates of the imagery used to generate the land cover data range from 2020 to 2023. Attributes for this product are as follows: 0 = background, 1 = tree canopy, 2 = shrub canopy, 10 = no data. Image services are also available for high resolution land cover data representing impervious surfaces as well as open water for U.S. coastal areas.Visit the C-CAP High Resolution Land Cover data page on NOAA's Digital Coast to learn more about the data and products available as well as access data download options.