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.

New Zealand Esri User Conference 2024 Terms and Conditions

All Metrobus routes and schedules are changing as a result of the Better Bus Initiative. Better Bus is Metro’s initiative to improve regional bus service. On June 29, 2025, Metro will launch its new bus network. DC's Chief Technology Office (OCTO) is working with partners at DDOT and WMATA to post changes to Open Data DC. Please read WMATA notice here.

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.

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.

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.

This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Trust Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats may be excluded because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition.The U.S. Fish and Wildlife Service (Service) is the principal Federal agency that provides information to the public on the extent and status of the Nation's wetlands. The Service's strategic plan for our vast national wetland data holdings is focused on the development, updating, and dissemination of wetlands data and information to Service resource managers and the public.For more information visit: https://www.fws.gov/wetlands/index.htmlView Wetlands Data on the Wetlands Mapper at: https://www.fws.gov/wetlands/Data/Mapper.htmlWetlands Web Services are available at: https://www.fws.gov/wetlands/Data/Web-Map-Services.htmlWetlands Data available as a KML at: https://www.fws.gov/wetlands/Data/Google-Earth.htmlWetlands Data Downloads available at: https://www.fws.gov/wetlands/Data/Data-Download.htmlWetland Data Standards available at: https://www.fws.gov/wetlands/Data/Data-Standards.html

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

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/

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.

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.

Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsUnits: MetersCell Size: 10 metersSource Type: ThematicPixel Type: Unsigned integer 16 bitData Coordinate System: North America Albers Equal Area Conic (WKID 102008)Mosaic Projection: North America Albers Equal Area Conic (WKID 102008)Extent: 50 United States plus Puerto Rico, American Samoa, the US Virgin Islands, the Northern Mariana Islands, and US Minor Outlying IslandsSource: U.S. Fish and Wildlife ServicePublication Date: October 26, 2024 ArcGIS Server URL: https://landscape11.arcgis.com/arcgis/This layer was created from the October 26, 2024 version of the NWI. The original NWI features were downloaded from USFWS and then converted to a single part feature class using the Multipart To Singlepart tool. After that, the Dice tool was used to break up features larger than 50,000 vertices. The diced, singlepart features were projected to North America Albers projection, then the Repair Geometry tool was run on the features, using tool defaults, to prepare it for a clean rasterization. The features were then converted to several rasters in North America Albers projection using the Polygon to Raster Tool. The National Land Cover Dataset was used as a snap raster for the rasterization process. The rasters representing different parts of the USA are served together as a single layer from a mosaic dataset on the server.This layer includes attributes from the original dataset as well as attributes added by Esri for use in the default pop-up and to allow the user to query and filter the data. NWI derived attributes:Wetland Code - a code that identifies specific attributes of the wetlandWetland Type - one of 8 wetland typesEsri created attributes:System - code indicating the system and subsystem of the wetlandClass - code indicating the class and subclass of the wetlandModifier 1, Modifier 2, Modifier 3, Modifier 4 - these four fields contain letter codes for modifiers applied to the wetland descriptionSystem Name - the name of the system (Marine, Estuarine, Riverine, Lacustrine, or Palustrine)Subsystem Name - the name of the subsystemClass Name - the name of the classSubclass Name - the name of the subclassModifier 1 Name, Modifier 2 Name, Modifier 3 Name , Modifier 4 Name - these four fields contain names for modifiers applied to the wetland descriptionPopup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.The layer serves an index value from a mosaic dataset on the enterprise server. It uses an attribute table function on the mosaic to serve the attributes that appear in the popup for the layer. Because there are more than 2,000 integer values served by the layer, most map clients can not render a legend for this layer. A colormap is used after the attribute table function on the mosaic dataset to help the layer render in the colors intended for the layer.What can you do with this layer?This layer is suitable for both visualization and analysis across the 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 selecting Add then Browse Living Atlas Layers. A window will open. Type "USA Wetlands" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "USA Wetlands" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

This data set is a Status Map that identifies the location of wetland data and no data areas. The wetland data itself represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Trust Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats may be excluded because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition.The U.S. Fish and Wildlife Service (Service) is the principal Federal agency that provides information to the public on the extent and status of the Nation's wetlands. The Service's strategic plan for our vast national wetland data holdings is focused on the development, updating, and dissemination of wetlands data and information to Service resource managers and the public. The development of the Wetlands Master Geodatabase is in direct response to the need to integrate digital map data with other resource information to produce timely and relevant management and decision support tools.For more information visit: https://www.fws.gov/wetlands/index.htmlView Wetlands Data on the Wetlands Mapper at: https://www.fws.gov/wetlands/Data/Mapper.htmlWetlands Web Services are available at: https://www.fws.gov/wetlands/Data/Web-Map-Services.htmlWetlands Data available as a KML at: https://www.fws.gov/wetlands/Data/Google-Earth.htmlWetlands Data Downloads available at: https://www.fws.gov/wetlands/Data/Data-Download.htmlWetland Data Standards available at: https://www.fws.gov/wetlands/Data/Data-Standards.html