This book had its seeds in 2011, when I found myself at Esri’s annual User Conference in San Diego, California. There, with 15,000 self-proclaimed map geeks, I was astonished to discover a whole community of people who understood the power of visuals to create understanding and trust—and to solve the world’s pressing problems.

Information on the amount of water flowing in streams and rivers is critical to the management of water resources, emergency response to flooding, fisheries management, and many other uses. This layer provides access to real-time stream gauge readings compiled from a variety of agencies and organizations.Dataset SummaryThe Live Stream Gauges layer contains real-time measurements of water depth from multiple reporting agencies recording at sensors across the world. This layer uses GeoEvent Processor to ingest and consolidate the many live sensor feeds, and updates itself every hour. At some gauges, flow in cubic feet per second is estimated using a stage-discharge rating curve. Flow forecasts are also provided where available. These sensor feeds are owned and maintained by the GIS community. For details on the coverage in this map and the users who contributed data for this map via the Community Maps Program, view the list of Contributors for the Live Stream Gauges Service. If you want to contribute your organization's gauges, read more about the program here.

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This Dashboard presents results from Hoffman et al. (2020) which showed that formerly "redlined" neighborhoods are predominantly warmer today than their non-redlined neighbors in 94% of the cities studied. This relationship is accompanied by a similar, although opposite, trend in tree canopy, whereby redlined neighborhoods have systematically less tree canopy today - and more impervious, hard surfaces - than their non-redlined neighbors. Finally, we have included estimates of the neighborhood demographics - indicated by its % non-white population and median house value - to show that, as many studies have shown previously, that these formerly redlined areas remain relatively lower-resourced and primarily communities of color, underscoring the need to address climate change equitably in these cities which were redlined in the 1930s and 1940s.The web map for this Dashboard can be accessed here.

Safe, secure, and abundant bicycle parking is necessary to support the District’s growing number of people using bikes for transportation, commuting, and recreation. Providing sufficient bicycle parking is part of DDOT's strategy to promote bicycling in the District of Columbia and reduces the number of bikes locked to trees, benches, and railings.

Discover beautiful Bavaria by bike!this 3D Webscene shows the 2 Open Data layers Mountainbike Trails and Bike Tour Routes (Bayernnetz) draped over the Esri World Imagery Basemap and the Esri Globe. The Bike Route layers are part of an Open Data GPS tracks package of local signposted Hiking & Biking trails provided by the Bavarian Surveying Agency.Schönes Bayern mit dem Rad entdecken! Diese 3D Szene zeigt in mehreren Bookmark Folien eindrucksvoll die Freizeitwege Layer Mountainbike-Wege und Fernradwege des Bayernnetz von Bayern als 3D Globe Darstellung mit den World Imagery Basemap. Weitere Details zu den Layern sind in der Beschreibung der Layer zu finden.

The NOAA Climate Prediction Center generates monthly to seasonal forecasts of the probability of temperature and precipitation being greater or less than "normal" (the historical average). These layers show the probability of whether temperatures in the United States will be above or below normal over the next 6-10 days, 8-14 days, 30 days, and 90 days ("season"). TemperatureThe color palette uses orange to blue to represent higher or lower than average temperature probability. Dark orange colors imply a greater probability that temperatures will be higher than normal - but the color implies nothing about the actual amount. In other words, dark orange does not mean that these areas will receive higher temperatures than light orange areas, just a greater chance that the areas will be warmer than normal.The National Weather Service maintains a variety of ArcGIS services via their CloudGIS system. The REST endpoints for all of these services can be found here: https://www.weather.gov/gis/cloudgiswebservices

Data and maps features in this app include:- Los Angeles metro rail layers- Los Angeles Metro bus lines- Los Angeles public transit stations: Metrolink, metro, transit, amtrak, etc. - Los Angeles major highwaysData collected using the Los Angeles GeoHub: https://geohub.lacity.org/

When rain falls over land, a portion of it runs off into stream channels and storm water systems while the remainder infiltrates into the soil or returns to the atmosphere directly through evaporation. Physical properties of soil affect the rate that water is absorbed and the amount of runoff produced by a storm. Hydrologic soil group provides an index of the rate that water infiltrates a soil and is an input to rainfall-runoff models that are used to predict potential stream flow. For more information on using hydrologic soil group in hydrologic modeling see the publication Urban Hydrology for Small Watersheds (Natural Resources Conservation Service, United States Department of Agriculture, Technical Release–55). Dataset SummaryPhenomenon Mapped: Soil hydrologic groupGeographic Extent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Northern Mariana Islands, Republic of Palau, Republic of the Marshall Islands, Federated States of Micronesia, and American Samoa.Projection: Web Mercator Auxiliary SphereData Coordinate System: WKID 5070 USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WKID 3338 WGS 1984 Albers (Alaska), WKID 4326 WGS 1984 Decimal Degrees (Guam, Republic of the Marshall Islands, Northern Mariana Islands, Republic of Palau, Federated States of Micronesia, American Samoa, and Hawaii).Units: ClassesCell Size: 30 metersSource Type: DiscretePixel Type: Unsigned integerSource: Natural Resources Conservation ServiceUpdate Frequency: AnnualPublication Date: December 2024 Data from the gNATSGO database was used to create the layer. This layer is derived from the 30m rasters produced by the Natural Resources Conservation Service (NRCS). The value for hydrologic group is derived from the gSSURGO map unit aggregated attribute table field Hydrologic Group - Dominant Conditions(hydgrpdcd). The seven classes of hydrologic soil group followed by definitions:Group A - Group A soils consist of deep, well drained sands or gravelly sands with high infiltration and low runoff rates.Group B - Group B soils consist of deep well drained soils with a moderately fine to moderately coarse texture and a moderate rate of infiltration and runoff.Group C - Group C consists of soils with a layer that impedes the downward movement of water or fine textured soils and a slow rate of infiltration.Group D - Group D consists of soils with a very slow infiltration rate and high runoff potential. This group is composed of clays that have a high shrink-swell potential, soils with a high water table, soils that have a clay pan or clay layer at or near the surface, and soils that are shallow over nearly impervious material.Group A/D - Group A/D soils naturally have a very slow infiltration rate due to a high water table but will have high infiltration and low runoff rates if drained.Group B/D - Group B/D soils naturally have a very slow infiltration rate due to a high water table but will have a moderate rate of infiltration and runoff if drained.Group C/D - Group C/D soils naturally have a very slow infiltration rate due to a high water table but will have a slow rate of infiltration if drained. What can you do with this layer?This layer is suitable for both visualization and analysis acrossthe ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application. Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selectingAddthenBrowse Living Atlas Layers. A window will open. Type "soil hydrologic group" in the search box and browse to the layer. Select the layer then clickAdd to Map. In ArcGIS Pro, open a map and selectAdd Datafrom the Map Tab. SelectDataat the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expandPortalif necessary, then selectLiving Atlas. Type "soil hydrologic group" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro. Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions. The ArcGIS Living Atlas of the World provides an easy way to explore many otherbeautiful and authoritative maps on hundreds of topics like this one. Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

Explore the Improvement to Land Ratio in the Gateway Cities of Greater Boston, mapped using data from MAPC Boston's open data site. The cities included in the app are - Chelsea, Everett, Lynn, Malden, Peabody, Quincy, Revere and Salem.The Improvement Ratio is an interesting way to look at a city as it immediately reveals land parcels that are under-utilized. It is calculated as a ratio between value of all improvements built upon a land parcel to the value of the land contained within the parcel boundaries. Data Source: DataCommon, MAPC Boston

Water Filter DistributionBrain Trust for Tropical Disease Research and Prevention is beginning to facilitate the distribution of water filters and outreach information about safe drinking water to Puerto Rico’s communities post Hurricane Maria. The filters will be distributed home to home in collaboration with the Federally Qualified Health Centers and the Department of Health. At each home visit a team will teach about filter assembly, use and maintenance, provide educational outreach materials and conduct a brief survey about the community, the household, their access to potable water and general health information.We would like to provide your home with one filter that will provide water for six family members for approximately six months. It is recommended that the filter’s cartridge be cleaned by rubbing it gently with white sugar or other non-toxic abrasive material. If water no longer drains out of the filter system, after cleaning, the filter should be replaced. A replacement cartridge can be obtained at the Utuado Community Health Center or purchased at your local hardware store.Collaborators:PRiA, PRDOH, Federally Qualified Community Health Centers, Utuado Community Health Center, Brain Trust for Tropical Disease Research and Prevention, and the Puerto Rico Science, Technology and Research Trust.

The segregation of public schools was a common practice throughout many decades of U.S. history. During the Reconstruction period after the Civil War, Congress passed three constitutional amendments to protect newly-freed Black Americans. While racial segregation was forbidden in some regions, in other areas, namely the southern states, racial segregation was enforced by law. The transition to a more diverse and inclusive public education system was fueled by families, activists, and the NAACP who used litigation to make sure that all students were afforded access to an equitable education. On May 17, 1954, the Supreme Court of the United States ruled segregation in public schools was unconstitutional in Brown v. Board of Education. The ruling was a pivotal point students, educators, and the ongoing fight for civil rights.