An ArcGIS Blog tutorial that guides you through creating your first dashboard using ArcGIS Dashboards.ArcGIS Dashboards is a configurable web app available in ArcGIS Online that enables users to convey information by presenting interactive charts, gauges, maps, and other visual elements that work together on a single screen.In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Hong Kong has a lot of real-time data which are made available by the Government of Hong Kong Special Administrative Region at https://DATA.GOV.HK/ (“DATA.GOV.HK”). These data were processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform.These series of Operations Dashboard integrate different available real-time datasets in Hong Kong to provide a dashboard interface for monitoring real-time data feed on your desktop or tablet device. The objectives are to facilitate our Hong Kong ArcGIS Online users to view these data in a spatial ready format and save their data conversion effort.These series of Operations Dashboard come in three themes, environmental, traffic and integrated.The Environmental theme contains real-time temperature, air quality health risk and air pollution concentration of different districts in Hong Kong. Traffic theme contains real-time information of estimated journey time, car park vacancy, traffic speed of major roads, traffic snapshot images and speed map panels in Hong Kong.The integrated theme combines the above two sets of data, which are environmental and traffic, and makes them into one single dashboard view.

In this tutorial you will create a simple dashboard using ArcGIS Dashboards. The dashboard uses a map of medical facilities in Los Angeles County (sample data only) and includes interactive chart and list elements.A dashboard is composed of several elements that work together. Each element is unique and has its own unique configuration settings. The dashboard will include four elements; a map, serial chart, list, and header. The map will be configured to interact with the chart and list, and the list will be configured to interact with the map.

In previous activities we created this interactive web map showing the maximum monthly temperatures in 2019In this activity we will use the web map to create an interactive dashboard like this one. Before we start building try exploring the dashboard so that you get an idea of how it will work..

ArcGIS Dashboard allows users to present maps and data in an interactive, dynamic, and intuitive way. It is integrated within the ArcGIS system, so you are ready to use maps and data from your organisation's ArcGIS online or Enterprise.

This dashboard is an interactive tool designed to visualize data related to the supply and demand of Maryland's workforce, as well as, the education and training opportunities that exist in the State.Developed by ESRGC for the Maryland Department of Labor, Licensing and Regulation (DLLR).

The Permanent Equipment Base (BPE) is a statistical database maintained by INSEE which lists a wide range of equipment and services, whether marketed or not, accessible to the public throughout France on January 1st of each year. In 2020, it covers 188 different types of services and equipment, divided into seven main areas: services to individuals, businesses, education, health-social, transport-travel, sports-leisure-culture and tourism. The BPE is built from various administrative sources. It collects data on points of access to services for the population, or “equipment”, located at geographical levels. municipalities, sub-communal territories (Iris) and coordinates (x,y) for most types of equipment. The interactive table proposed here allows the consultation of certain shops, services and administrations in Seine-Maritime in 2020, by intercommunality, commune and type of equipment. The data used is also available for download on this site. Metadata Link to metadata Additional resources * INSEE website: This page of the INSEE website is dedicated to the Permanent Base of Equipment (BPE). It provides information on the constitution and content of the database, links to the download of the database, and related metadata. * Site of the observatory of the territories: This site, led by the National Agency for the Cohesion of Territories, proposes many territorial indicators, including an indicator of the levels of equipment and service centres, resulting from the work of the study "Centralities: how do I identify them and what roles in local and intercommunal dynamics?" which was carried out by INRAE-CESAER in partnership with the ANCT in 2019. The method used to identify centres from the diversity of shops and services is that of mixed automatic classification. This typology was carried out on the municipalities of Metropolitan France 2019 and from the permanent base of equipment of INSEE 2017.

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

This Interactive dashboard from the ARC Research & Analytics group features county-level population, employment, housing, education, health, crime, income and forecast data, as well as aggregated numbers for the 10- and 20-county region. Data comes from the U.S. Census, ACS, FBI and Georgia Department of Education, among others.See the about tab for more information.Published on 33n blog. 33°N shares research about the metro Atlanta Region and is managed by the Research and Analytics Group of the Atlanta Regional Commission.

This interactive dashboard makes it possible to carry out research (by year, by type of aid, by municipality, etc.) in the grants granted by the Seine-Maritime Departmental Council from 2008 to 2023. Such grants may be operating aid or investment aid. They have been paid in the year of the decision or in subsequent years Some aid may, sporadically, not have been entered in the IT tool for managing aid files and may be missing. Metadata Link to metadata Additional resources * Website of the Seine-Maritime Department: https://www.seinemaritime.fr/ , The rules on aid to individuals can be accessed on the department’s website from the thematic pages (‘youth’, ‘housing and housing’, ‘supporting the child and his or her family’, etc.), under the ‘my daily life’ tab. The site also provides access to the Guide to grants for local authorities and associations, as well as to the portal of grants to municipalities.

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.

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***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.

The permanent equipment database (BPE) is a statistical database maintained by INSEE which lists a wide range of equipment and services, market and non-market, accessible to the public throughout France on 1 January each year. The BPE is built from various administrative sources. It gathers data on points of access to services intended for the population, or "equipment", located at geographical levels for the purposes of: municipalities, sub-municipal territories (Iris) and geographical coordinates for most types of equipment. The extract from the database proposed here concerns sports, cultural and leisure facilities in Seine-Maritime on 1 January 2023. Presented in the form of an interactive table, it makes it possible to select the equipment by municipality, EPCI and/or by type of equipment. The list of selected data is downloadable. Metadata Link to metadata Additional resources * INSEE website: and These pages of the INSEE website are dedicated to the Permanent Equipment Base (PEB). They provide information on the constitution and content of the database, links to the download of the database, and related metadata; * Site of the Observatory of Territories: https://www.Observatoire-des-territoires.gouv.fr/level-de-centres-dequipements-et-de-services-des-communes This site, run by the National Agency for Territorial Cohesion, offers many territorial indicators, including an indicator of the levels of equipment and service centres, resulting from the work of the study "Centralities: how to identify them and what roles in local and inter-municipal dynamics?" which was carried out by INRAE-CESAER in partnership with ANCT in 2019. The method used to identify centres from the diversity of shops and services is that of mixed automatic classification. This typology was carried out on the municipalities of metropolitan France 2023 and from INSEE 2021's permanent equipment base. This classification made it possible to distinguish several levels of centrality by grouping together municipalities with comparable facilities and services: - 24 064 non-pole municipalities: they have facilities and services but their offer is insufficient compared to that of the municipalities identified as centres; - 7011 local equipment and service centres: their offer is restricted around a dozen everyday and/or local equipment (hairdresser, elementary school, restaurant, bakery, building craftsmen); - 2880 intermediate centres for equipment and services: the offer is enriched by about thirty shops and services, making these centres real hotbeds of daily activity (full first-resort care offer, enhanced commercial activity, etc.); - 742 structuring centres offering around 40 additional items of equipment, some of which are essential, but which are not used on a daily basis: more specialised commercial equipment (bookshop, grocery store, shoe, sports, household appliances or furniture store), hotels, temporary employment agencies. These centres also host more specialised health services (analysis laboratory, ophthalmology, cardiology, gynecology); - 142 major centres that offer the rarest services such as certain hospital medical specialties, social assistance services for vulnerable people, courts, academic institutions, major sports and cultural facilities and large-scale distribution.

30 day CRM data is used to create interactive dashboard parts that go into the 311 Story Map.This feeds the 2nd tab: https://dallasgis.maps.arcgis.com/home/item.html?id=3fa09e8df6d9427e954fccf12cdccfa4

The Seine-Maritime Department works directly with municipalities and groupings of municipalities through a number of subsidy schemes in areas that are essential for territorial development and local public services. Between 2017 and 2023, more than €152 million in grants were awarded in this context by our community and in 2023 alone, nearly 950 new municipal and inter-municipal projects were supported for a financial commitment of more than €25 million. The award of such aid is based on a few simple principles: a single subsidy rate of 30% for the majority of schemes, no cut-off date for the submission of applications and an examination of applications ‘over the water’, territorial meetings with mayors to better understand their needs and an annual evaluation of the schemes through consultation work carried out with the departmental association of mayors of Seine-Maritime.

The 2023-2024 Guide to Aid to Municipalities offers 43 investment support schemes, ranging from the acquisition of defibrillators or road equipment to cycling facilities, heritage restoration, libraries and media libraries to multipurpose entertainment spaces, preservation of natural heritage to cemetery facilities, etc.

The file proposed here provides, by year from 2017 to 2023, by type of aid and by municipality, the aid voted, committed and mandated.

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• Seine-Maritime Department website: https://www.seinemaritime.fr/docs/GUIDE%20DES%20AIDES%202023%202024(9).pdf and https://www.seinemaritime.fr/docs/guide-offre-conseil-communes.pdf

The official website of the Department of Seine-Maritime offers for download the guide des aides à l'investissement des communes et groupements de communes. Since 1 January 2023, the Department has also been offering a new advisory and support service to municipalities and EPCI, accompanied by a guide to the proposed accompaniments downloadable here.

This layer shows computer ownership and internet access by education. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of the population age 25+ who are high school graduates (includes equivalency) and have some college or associate's degree in households that have no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B28006 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This interactive dashboard makes it possible to carry out searches on establishments in the FINESS directory in Seine-Maritime as of 2 May 2023. FINESS (Fiche National des Etablissements Sanitaires et Sociaux) is the national reference directory of legal entities involved in the health, medico-social, social and teaching fields of the health and social professions. The possible search criteria are the name of the municipality of establishment, the category of activity, the name of the establishment or the FINESS number. ** ** Metadata Link to metadata Additional resources * esante.gouv.fr website: https://esante.gouv.fr/products-services/repertoire-finess?position&keys=finess&pageNumber=1 This site of the Ministry of Health and the Digital Health Agency offers, in addition to general information on FINESS, links to search tools of the national directory, to its detailed nomenclature or to educational documents clearly informing on the modalities of information and classification of the file. * Website of the Fédération Hospitalière de France (FHF): The site of the FHF, an association law 1901, offers a Directory of hospitals and public medico-social establishments which allows to consult the sheet of each establishment, on which appears the contacts (address, telephone, fax and mail) of the establishment, its skills and its organization, its capacities (in beds and places by specialty), etc. * Dissemination site of the Annual Statistics of Health Establishments (SAE): The Annual Statistics of Health Facilities (SAE) is an administrative, exhaustive and mandatory survey of health facilities established in France (metropolis and DROM), including structures that perform only one type of hospitalization or that have an authorization for a single care activity. The data are collected by the DREES (Directorate for Research, Studies, Evaluation and Statistics), directorate of the central administration of the health and social ministries. It produces two types of data: - A so-called "administrative" basis giving the declarations of the establishments, - A so-called "statistical" basis for studies. This site allows you to query the data in the administrative database.

The Project Development Dashboard presents information about projects in the City of Vancouver categorized by various stages of development. Development types captured in this Dashboard include: commercial, industrial, mixed use--residential, multi-family residential, post decision review, residential, residential land division, and TYPE IV Application Review.NOTE:This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.

This study focuses on the use of citizen science and GIS tools for collecting and analyzing data on Rose Swanson Mountain in British Columbia, Canada. While several organizations collect data on wildlife habitats, trail mapping, and fire documentation on the mountain, there are few studies conducted on the area and citizen science is not being addressed. The study aims to aggregate various data sources and involve citizens in the data collection process using ArcGIS Dashboard and ArcGIS Survey 123. These GIS tools allow for the integration and analysis of different kinds of data, as well as the creation of interactive maps and surveys that can facilitate citizen engagement and data collection. The data used in the dashboard was sourced from BC Data Catalogue, Explore the Map, and iNaturalist. Results show effective citizen participation, with 1073 wildlife observations and 3043 plant observations. The dashboard provides a user-friendly interface for citizens to tailor their map extent and layers, access surveys, and obtain information on each attribute included in the pop-up by clicking. Analysis on classification of fuel types, ecological communities, endangered wildlife species presence and critical habitat, and scope of human activities can be conducted based on the distribution of data. The dashboard can provide direction for researchers to develop research or contribute to other projects in progress, as well as advocate for natural resource managers to use citizen science data. The study demonstrates the potential for GIS and citizen science to contribute to meaningful discoveries and advancements in areas.

NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances is used in this application. This satellite imagery combines data from the NOAA GOES East and West satellites and the JMA Himawari satellite, providing full coverage of weather events for most of the world, from the west coast of Africa west to the east coast of India. The tile service updates to the most recent image every 10 minutes at 1.5 km per pixel resolution. More information about this imagery can be here: https://www.nesdis.noaa.gov/imagery/interactive-maps/how-use-the-interactive-satellite-maps. USA Current Wildfire data shows wildfires that have been updated within the past 7 days in the United States. Wildfire points are sourced from Integrated Reporting of Wildland-Fire Information (IRWIN) and perimeters from National Interagency Fire Center (NIFC). Satellite (VIIRS) Thermal Hotspots and Fire Activity presents detectable thermal activity from VIIRS satellites for the last 7 days. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, part of NASA's Earth Science Data. National Weather Service Smoke displays the smoke forecast for the next 48 hours across the Continental United States. USA Weather Watches and Warnings depicts the National Weather Service (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into well over 100 categories. The data utilized in this dashboard may update at different intervals, this application refreshes in 5 minute intervals.