The Blighted Property Dashboard displays the seven (7) types of blighted property 311 citizen service requests and associated statistics. The information presented in the left sidebar represents the number of open and in-progress 311 calls for each subtype of a blighted property 311 service request. By default, the "Property Needs to be Condemned or Torn Down" subtype is displayed in the map window. Users can turn on/off any of the other blighted property subtypes by opening the Contents pane. The data herein is collected by the City of Baton Rouge and Parish of East Baton Rouge, Louisiana and includes data dating to April 2012.The Blighted Property web map at https://ebrgis.maps.arcgis.com/apps/mapviewer/index.html?webmap=46f8fe2832ee44f494e5290c76c63d16 is the underlying basis for the dashboard.

As defined in the Decree of 18 August 2014 laying down the criteria for the approval of family assistants, a family assistant is the person whose task is, for remuneration, to receive habitually and permanently at home minors and young adults under the age of 21, separated from their parents, and to take care of them on a daily basis.

In order to receive one or more children, family assistants must obtain authorisation from the Department, in accordance with the criteria laid down in the above-mentioned decree: approval, which determines in particular the number of children they can accommodate. The Departmental Service for Maternal and Child Protection (PMI) handles applications for approval of family assistants, whether it is a first application, an amendment application or an application for renewal.

The table proposed here makes it possible to search for the number of family assistants and the maximum number of children they can accommodate with regard to their approval, by municipality, CMS, UTAS, canton or by approval number, These data are downloadable via the "List" block.

Metadata

Link to metadata

Additional resources

***DREES website**: https://drees.solidarites-sante.gouv.fr/sites/default/files/2023-12/ER1291MAJ281223.pdf

The Directorate for Research, Studies, Evaluation and Statistics (DREES) is the ministerial statistical service in the health and social fields. Its website makes available for download a note from December 2023 presenting the results of a 2021 survey on family assistants (profile, training, employers, etc.)

• Public Service website: https://www.service-public.fr/individuals/your rights/F1260

The official website of the French administration offers a page that allows interested people to learn about the job of family assistant and the rules that apply to them.

This dashboard defaults to a presentation of the crash points that will cluster the crash types and determine a predominant crash type. In the case two crash types have the same number of crashes for that type the predominant type will not be colored to either of the crash types. Clicking on the clusters will include a basic analysis of the cluster. These clusters are dynamic and will change as the user zooms in an out of the map. The clustering of crashes is functionality availalble in ArcGIS Online and the popups for the clusters is based on items that include elements configured with the Arcade language. Users interested in learning more about point clustering and the configuration of popups should read through some of the examples of the following ESRI Article (https://www.esri.com/arcgis-blog/products/arcgis-online/mapping/summarize-and-explore-point-clusters-with-arcade-in-popups/) . The dashboard itself does include a map widget that does allow the user to toggle the visibility of layers and/or click on the crashes within the map. The popups for single crashes can be difficult to see unless the map is expanded (click in upper right of map widget). There is a Review Crashes tab that allows for another display of details of a crash that may be easier for users.This dashboard includes selectors in both the header and sidebar. By default the sidebar is collapsed and would need to be expanded. The crash dataset used in the presentation includes columns with a prefix of the unit. The persons information associated to each unit would be based on the Person that was considered the driver. Crash data can be filtered by clicking on items in chart widgets. All chart widgets have been configured to allow multiple selections and these selections will then filter the crash data accordingly. Allowing for data to be filtered by clicking on widgets is an alternative approach to setting up individual selectors. Selectors can take up a lot of space in the header and sidebar and clicking on the widget items can allow you to explore different scenarios which may ultimately be setup as selectors in the future. The Dashboard has many widgets that are stacked atop each other and underneath these stacked widgets are controls or tabs that allow the user to toggle between different visualizations. The downside to allowing a user to filter based on the output of a widget is the need for the end user to keep track of what has been clicked and the need to go back through and unclick.Many of the Crash Data Elements are based on lookups that have a fairly large range of values to select. This can be difficult sometimes with charts and the fact that a user may be overwhelmed by the number of items be plotted. Some of these values could potentially benefit by grouping similar values. The crash data being used in this dashboard hasn't been post processed to simplify some of the groupings of data and represent the value as it would appear in the Crash System. This dashboard was put together to continue the discussion on what data elements should be included in the GIS Crash Dataset. At the moment there is currently one primary dataset that is used to present crash data in Map Services. There is lots of potential to extend this dataset to include additional elements or it might be beneficial to create different versions of the crash data. Having an examples like this one will hopefully help with the discussion. Workable examples of what works and doesn't work. There are lots of data elements in the Crash System that could allow for an even more detailed safety analysis. Some of the unit items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash.Most Damaged AreaExtent of DamageUnit TypeDirection of Travel (Northbound, Southbound, Eastbound, Westbound)Pre-Crash ActionsSequence of Events 1-4Most Harmful Event Some of the persons items included in the example for Minot Ave in Auburn are the following. This information is included for the first three units associated to any crash and the person would be based on the driver.Condition at Time of CrashDriver Action 1Driver Action 2Driver DistractedAgeSexPerson Type (Driver/Owner(6), Driver(1))In addition to the Units and Persons information included above each crash includes the standard crash data elements which includesDate, Time, Day of Week, Year, Month, HourInjury Level (K,A,B,C,PD)Type of CrashTownname, County, MDOT RegionWeather ConditionsLight ConditionsRoad Surface ConditionsRoad GradeSchool Bus RelatedTraffic Control DeviceType of LocationWork Zone ItemsLocation Type (NODE, ELEMENT) used for LRS# of K, # of A, # of B, # of C, # of PD InjuriesTotal # of UnitsTotal # of PersonsFactored AADT (Only currently applicable for crashes along the roadway (ELEMENT)).Location of First Harmful EventTotal Injury Count for the CrashBoolean Y/N if Pedestrian or Bicycles are InvolvedContributing EnvironmentsContributing RoadRoute Number, Milepoint, Element ID, Node ID

The National Water Model provides forecasts of flow volume and velocity for over 2.7 million stream and river segments in the contiguous United States and is the National Weather Service’s primary tool for predicting river flooding. Two versions of the National Water Model are available in ArcGIS Living Atlas: a short-term model that updates every hour for 18-hrs, and a medium-range model that updates every 6-hrs for a 10-day outlook.This layer provides a summary of the short-term hourly forecast and adds calculated fields such as flow anomaly, maximum anomaly, and the time at maximum flow. It has been filtered to display only areas with positive flow anomalies (i.e., flooding). Leveraging ArcGIS Online hosted feature services, it is ideal for doing spatial and time queries, use in Dashboards, and supporting a variety of custom symbology.By default, this layer is showing time until maximum flow since the short-term model is ideal for providing detailed situational awareness for imminent or occurring events.Companion LayerNational Water Model Maximum Flow (10-Day Forecast)Related LayersNational Water Model (10-Day Forecast)National Water Model (10-Day Anomaly Forecast)National Water Model (Hourly Forecast)National Water Model (Hourly Anomaly Forecast)RevisionsJan 27, 2022: Added 'Forecast Origin' field. Providing the Origin Date/Time of the Forecast Set

(Prototype - Under Development. Not to be relied upon for operational use.)This interactive web map shows real-time flood conditions across the United States and combines multiple informational layers to assist with River Forecast Center Decision Support Services for both internal and external partner use. This includes current and forecast flood conditions at service locations in the United States using live data from the National Weather Service Advanced Hydrologic Prediction System (AHPS) along with National Water Model (NWM) streamflow guidance across 2.7 Million reaches. In addition, current USGS streamflow observations along with NRCS snotel network observations can be viewed on top of a host of additional NOAA product layers including current radar and satellite imagery, past and future rainfall estimates, snowpack analysis, drought analysis, river and flash flood outlooks, weather hazard outlooks, severe weather, tropical outlook and cyclone forecasts, active hurricane tracks, and climate outlooks along with a variety of hydrologic, political and federal agency boundaries. Many of these layers have multiple temporal scales and all are viewable on top of standard basemaps, including world topographic maps.For a map that focuses on more general weather reports and current radar, see the Severe Weather Map.For a map that focuses on available National Water Model flow and anomaly layers, see the NWM Map.By using this AGOL web map, the user acknowledges that the NWM v1.0 output is prototype guidance and should not be considered an official NWS river forecast.About the data:Stream Gauges: This is Esri's Live Stream Gauges layer, symbolized to show only those gauges that are currently at or above flood stage. Click on a gauge to see the current depth, flow rate, and alert level. Five day forecasts from Advanced Hydrologic Prediction Service are shown where available.Population Density: This is Esri's World Population Estimate, which models the likely population of each 250 meter square cell, globally. It provides import context to the map, showing where flooding is likely to have a human impact.Flood Warnings (short and long term): These weather alerts are NOAA Weather Warnings, Watches, and Advisory data provided through the Common Alerting Protocol (CAP) Alert system. The long term warnings (flood warnings) are done on a county basis, while the short term warnings (flash flood and marine warnings) are more spatially precise. 72-hour Precipitation Forecast: This is the Quantitative Precipitation Forecast (QPF) from NOAA's National Digital Forecast Database. By default it shows the predicted total over the next 72 hours, but this forecast can also be viewed in six hour intervals.***** IMPORTANT disclaimer concerning NWM output *****The Office of Water Prediction (OWP) National Water Center is now producing water information from our National Water Model (NWM) version 1.0. Information about the prototype NWM output displayed on this map interface can be found in this Product Description Document. More information about the NWM is available athttp://water.noaa.gov/about/nwm. As this output is from the first version of the NWM, it does not yet contain information on the anthropogenic effects on streamflow and output should be viewed with caution. The output is undergoing extensive validation and verification to identify where updates to the science model parametrization and configurations can make the most improvements to the model output. The next version of the NWM will be released in the spring 2017 time frame. For official NWS river forecasts please see http://water.weather.gov.There is a NWM mapping interface in progress. In addition to the prototype NWM streamflow information, data layers of 2 snow products from the National Snow Analysis, Snow Depth and Snow Water Equivalent, are also available. The OWP is seeking to improve the availability and quality of its products and services based on user feedback. Comments regarding the Prototype Water Information Interface Webpage should be provided through the electronic survey via the link provided below: http://www.nws.noaa.gov/survey/nws-survey.php?code=NWMV1OUTPUTThe OWP also provides a range of NWS official water information through the following web sites.River observation and forecast information: http://water.weather.gov/ahpsSnow Information: http://www.nohrsc.noaa.govPrecipitation Frequency Estimates: http://www.nws.noaa.gov/oh/hdscContent from the sites above will be migrated to this new site over the next couple of years.Comments? Questions? Please Contact nws.nwc.ops@noaa.gov.By using this AGOL web map, the user acknowledges that the NWM v1.0 output is prototype guidance and should not be considered an official NWS river forecast.

About this Dashboard

This earthquake scenario dashboard was created by the Central U.S. Earthquake Consortium using FEMA’s Hazus loss estimation software. The scenario is provided to enhance emergency management planning for earthquake mitigation, response, recovery, and preparedness. Impacts and damages represented are provided for planning purposes only and do not represent an actual earthquake that occurred. Click here for more information about Hazus.

Scenario Information

    Scenario Description







    Scenario Source


    USGS ShakeMap BSSC Catalog




    Scenario Link







    ShakeMap/MMI Link







    Inventory Data


    Hazus default (November 2019 release)




    Soil Data


    Included w/ShakeMap




    Liquefaction Data


    CUSEC State Geologists Liquefaction Susceptibility Map (2008 update; 1:250,000 scale) 




    Groundwater Data


    Hazus default 




    Other


    Scenario created June 2021 using Hazus 4.2 (SP3)

Development of this earthquake scenario dashboard was provided using funds from the Federal Emergency Management Agency, National Earthquake Hazards Reduction Program.

This feature layer provides access to OpenStreetMap (OSM) tourist attraction point data for Europe, which is updated periodically with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes tourism features defined as a query against the hosted feature layer (i.e. tourism is not blank).Note: due to the size of data and volume of edits, the OSM layers for Europe currently reflect edits made within the last 30 days.In OSM, tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with an tourism tag. There are hundreds of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular tourism types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the tourism features display. You can click on a feature to get the name of the tourism feature. The name of the feature will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this tourism layer displaying just one or two tourism types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. tourism is ruin), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

About this Dashboard

This earthquake scenario dashboard was created by the Central U.S. Earthquake Consortium using FEMA’s Hazus loss estimation software. The scenario is provided to enhance emergency management planning for earthquake mitigation, response, recovery, and preparedness. Impacts and damages represented are provided for planning purposes only and do not represent an actual earthquake that occurred. Click here for more information about Hazus.

Scenario Information

    Scenario Description







    Scenario Source


    USGS ShakeMap BSSC Catalog




    Scenario Link







    ShakeMap/MMI Link







    Inventory Data


    Hazus default (November 2019 release)




    Soil Data


    Included w/ShakeMap




    Liquefaction Data


    CUSEC State Geologists Liquefaction Susceptibility Map (2008 update; 1:250,000 scale) 




    Groundwater Data


    Hazus default 




    Other


    Scenario created June 2021 using Hazus 4.2 (SP3)

Development of this earthquake scenario dashboard was provided using funds from the Federal Emergency Management Agency, National Earthquake Hazards Reduction Program.