GIS and pandemic influenza planning and response (White Paper).Around the world, public health organizations at all levels of government and the partners that support them are responding to pandemic influenza.Infectious disease experts predicted a pandemic, saying it was not a question of if but when.Pandemic influenza is a global outbreak of disease that occurs when a new influenza virus appears or emerges in the human population; causes serious illness; and spreads easily from person to person, occurring over a wide geographic area and often crossing geographic boundaries. Pandemic outbreaks are caused by subtypes of influenza virus that have never before circulated among people. _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...

Racial Equity Learning ResourcesA collection of learning resources that can help you ramp up with skills, knowledge, and learn about best practices to respond to racial inequity. The resources include Learn ArcGIS lessons, ArcGIS blog articles, technical documents, whitepapers, and other documentation._Communities around the world are taking strides in mitigating racial inequity. Geography and location analysis have a crucial role in better understanding this issue. When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your GIS operations. Use GIS to rapidly access and visualize information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions.

We built a web application specifically for adding the Watershed Delineation functionality to an AGOL webmap, called the Watershed Explorer. Think of this application not as a stand-alone app, but instead as a wrapper for your AGOL web map that adds the watershed delineation functionality.On AGOL is a Guadalupe Basin Water Rights web map that my colleague Daniel Siegel built. Daniel adjusted the point symbology to his liking, and also configured pop-ups on this layer. To bring this web map into the Watershed Explorer Application, all we need is the AGOL web map id, which can be found in the URL of the address bar. Copy the web map ID and type in the Watershed Delineation App URL “?map=” then paste the web map id at the end of the string and hit enter. The app loads the Guadalupe Basin Water Rights web map. And you can do this for any AGOL web map.Some additional functionality that we built into the application utilizes the WaterML standard. When there is a WaterML attribute published in the map layer, this app reports the WaterML data feed in the sliding report window. We can see who owns the water right and how many acre-feet of water have been withdrawn over the years. Remember that our original AGOL web map had pop-ups configured. To see that report click on the second tab in the report window. In this case, we have the pop-up configured with a link to a CSV download of that point’s withdrawals. So, you have the ability to download a spreadsheet of withdrawal records for every water diversion point on the map.When I delineate a watershed a new report appears. This report is based on statistics of the drainage area. In this case, my co-worker Daniel created another geoprocessing service that produces statistics about the delineated watershed. In this drainage area, 77% of the precipitation is lost to evapotranspiration. This is the default report set up in this application, but you could easily configure the Watershed Delineation tool with model builder to report another statistic and showcase those results in the report window.All of the resources are found on the Hydro Resource Center, which you can find by navigating to resources.arcgis.com, and under Communities you will find Hydrology. The Hydrology Resource Center is an online community center that promotes hydro information products created with ArcGIS methods to facilitate natural resources management. You can navigate through our content by choosing a specific hydrologic area of study, such as surface water or wetlands. Or you can go directly to our gallery and use the filters.In addition, we have an Education Gallery, where we store presentations from past conferences, as well as tutorials and white papers by Esri employees and our business partners.Last, I want to mention the Hydro Blog, which can be found on the bottom of the Hydro Resource Center Page or by going to blogs.esri.com/esri/arcgis and clicking on the Hydro Industry Community. The Hydro Blog is a venue for Esri users interested in hydrology to advertise their work in the hydro community. Sometimes Esri employees will contribute blogs, but more often I am looking for our users to write about their work so that others in the community find out what is going on. If you have a project that you would be willing to blog about, please let me know after the meeting. My email is CScopel@esri.com

On shallow rocky reefs in northeastern Aotearoa, New Zealand, urchin barrens are recognised as indicators of the ecosystem effects of overfishing reef predators. Yet, information on their extent and variability is lacking. We use aerial imagery to map the urchin barrens and kelp forests on reefs (<30 m depth) across seven locations, including within two long-established marine reserves and a marine protected area that allows recreational fishing. Urchin barrens were present in all locations and were restricted to reefs <10-16 m deep. This archive contains ArcGIS shapefiles and layer files for all of the maps used in this study. The study area extends from Cape Reinga in the far north of the North Island to Tawharanui in the Hauraki Gulf near Auckland. Regional scale base maps of the prominent marine habitats were included along with the seven fine-scale maps where the kelp forests and urchin barrens were mapped., The GIS shapefiles produced in this study were hand-drawn over layers of low-level aerial photography taken in specific conditions, which maximised the visible depth observable to create polygons to depict the habitat boundaries of the shallow reef. Of particular interest was the mapping of urchin barrens. Ground truthing surveys creating point data and underwater imagery were also brought into the GIS project to assist in drawing the reef habitat polygons. Arc layer files contain a common symbology across the seven study maps to aid the interpretation of the mapping. Further information on the methodology used in the mapping can be found in two published papers and four technical reports corresponding to the maps. The Readme file details where technical reports and published reports can be downloaded from the internet., , # GIS data of urchin barren mapping in Northeastern New Zealand

GIS mapping resources supporting the research article: Kerr, V.C. Grace R.V. (deceased), and Shears N.T., 2004. Estimating the extent of urchin barrens and kelp forest loss in northeastern Aotearoa, New Zealand. Kerr and Associates, Whangarei, New Zealand.

Description of the data and file structure

Four folders in this archive contain ArcGIS shapefiles with the extension (.shp). The shapefiles can be uploaded to ArcGIS or any ArcGIS-compatible software to view and access the files' spatial data and habitat attributes. It is essential to retain the associated files in each folder as these are system files required by ArcGIS to open and use the shapefiles. Each shapefile has six associated files with extensions: .avi, .CPG, .dbf, .prf, .sbn, and .sbx. In this archive are maps based on polygons drawn to depict habitat boundaries of biological and physical habitats in the shallow coastal areas of Northeastern New Zealan...

This feature layer provides Esri 2014/2019 demographic estimates for categories including population, age, income, race, occupation, industry and more. Data is available from country to block group level. Click the data tab for a full list of attributes. This is a ready-to-use layer for ArcGIS Pro, ArcGIS Online, configurable apps, dashboards, Insights, Story Maps, custom apps, and mobile apps. The service is intended as an archive to the retired 2014 Esri Demographics map services optimized for trending, comparison, analysis and smart mapping. For methodology information, see Esri's 2014/2019 white paper.

This data represents the output of the Size Density Model which classifies vegetation into 7 categories. This dataset is a derived data set using Tongass National Forest Covertypes, Tongass National Forest Hydric Soils, NWI Hydric Soils, and Aspect. They NWI Hydric soils were only used where the forest had not mapped soils such as Private Lands and Wilderness areas.There is a white paper that should go along with this metadata. T:\FS\Reference\GeoTool\r10_tnf\Metadata\SizeDensity\final_SizeDensity_white_paper_03262009.pdf

This map shows a simple summary of the social vulnerability of populations in the United States. Using Census 2010 information, the map answers the question “Where are the areas of relatively greater potential impact from disaster events within the U.S.?” from the perspective of social vulnerability to hazards. In other words, all areas of the U.S. are assessed relative to each other. Local and regional assessments of social vulnerability should apply the same model to their multi-county or multi-state region. For emergency response planning and hazard mitigation, populations can be assessed by their vulnerability to various hazards (fire, flood, etc). Physical vulnerability refers to a population’s exposure to specific potential hazards, such as living in a designated flood plain. There are various methods for calculating the potential or real geographic extents for various types of hazards. Social vulnerability refers to sensitivity to this exposure due to population and housing characteristics: age, low income, disability, home value or other factors. The social vulnerability score presented in this web service is based upon a 2000 article from the Annals of the Association of American Geographers which sums the values of 8 variables as a surrogate for "social vulnerability". For example, low-income seniors may not have access to a car to simply drive away from an ongoing hazard such as a flood. A map of the flood’s extent can be overlaid on the social vulnerability layer to allow planners and responders to better understand the demographics of the people affected by the hazard. This map depicts social vulnerability at the block group level. A high score indicates an area is more vulnerable. This web service provides a simplistic view of social vulnerability. There are more recent methods and metrics for determining and displaying social vulnerability, including the Social Vulnerability Index (SoVI) which capture the multi-dimensional nature of social vulnerability across space. See www.sovius.org for more information on SoVI. The refereed journal article used to guide the creation of the model in ModelBuilder was: Cutter, S. L., J. T. Mitchell, and M. S. Scott, 2000. "Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina." Annals of the Association of American Geographers 90(4): 713-737. Additionally, a white paper used to guide creation of the model in ModelBuilder was "Handbook for Conducting a GIS-Based Hazards Assessment at the County Level" by Susan L. Cutter, Jerry T. Mitchell, and Michael S. Scott.Off-the-shelf software and data were used to generate this index. ModelBuilder in ArcGIS 10.1 was used to connect the data sources and run the calculations required by the model.-------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

The aquifer risk map is being developed to fulfill requirements of SB-200 and is intended to help prioritize areas where domestic wells and state small water systems may be accessing groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL). In accordance with SB-200, the risk map is to be made available to the public and is to be updated annually starting January 1, 2021. The Fund Expenditure Plan states the risk map will be used by Water Boards staff to help prioritize areas for available SAFER funding..Methodology for the draft aquifer risk map available for download.This layer shows declustered water quality data for arsenic, nitrate, 1,2,3-trichloropropane, per square mile section that was used to create the aquifer risk map required by SB-200. The intent of the aquifer risk map is to help prioritize areas where domestic well users and state small water systems may be accessing groundwater that does not meet primary drinking water standards (maximum contaminant level or MCL) and will be updated annually starting January 1, 2021.

The section water quality data is based on depth-filtered water quality results from public and domestic supply wells, collected following a similar methodology as the Domestic Well Needs Assessment White Paper. This layer contains the long-term average (20 years) as well as the count of recent results (within 2 years) above the MCL, between 80% - 100% of the MCL, and below 80% of the MCL for each square mile section.

Local Nature Partnerships (LNPs) are a key Environment White Paper commitment. There are forty nine strategic partnerships consisting of a wide range of local organisations with members drawn from environmental, business, health, academic and land owning sectors providing almost total geographic coverage in England. Government was not prescriptive about LNP boundaries were defined. LNPs were encouraged to establish the most appropriate boundary for their area, whether ecological, administrative or a mixture of both. The majority of partnerships established themselves along administrative local authority boundaries with a number determined by a mix of of landscape level features and administrative boundaries and relatively few determined by ecological characteristics. LNPs work strategically to help their local area manage the natural environment. They aim to make sure that its value, and the value of the services it provides to the economy and the people who live there, is taken into account in local decisions, for example about planning and development. LNPs are also being encouraged to work at a large scale, which we call ‘landscape-scale’, and to identify Nature Improvement Areas using these criteria, found at this location (https://www.gov.uk/government/publications/criteria-to-apply-when-identifying-nature-improvement-areas)Full metadata can be viewed on data.gov.uk.

Local Nature Partnerships (LNPs) are a key Environment White Paper commitment. There are forty nine strategic partnerships consisting of a wide range of local organisations with members drawn from environmental, business, health, academic and land owning sectors providing almost total geographic coverage in England. Government was not prescriptive about LNP boundaries were defined. LNPs were encouraged to establish the most appropriate boundary for their area, whether ecological, administrative or a mixture of both. The majority of partnerships established themselves along administrative local authority boundaries with a number determined by a mix of of landscape level features and administrative boundaries and relatively few determined by ecological characteristics. LNPs work strategically to help their local area manage the natural environment. They aim to make sure that its value, and the value of the services it provides to the economy and the people who live there, is taken into account in local decisions, for example about planning and development. LNPs are also being encouraged to work at a large scale, which we call ‘landscape-scale’, and to identify Nature Improvement Areas using these criteria, found at this location (https://www.gov.uk/government/publications/criteria-to-apply-when-identifying-nature-improvement-areas)Full metadata can be viewed on data.gov.uk.

NIAs are areas of the country where partnerships have been set up to enhance the natural environment. NIAs embody an integrated, holistic approach that was signalled in the Natural Environment White Paper and England Biodiversity Strategy, joining up objectives for biodiversity, water, soils, farming and the low-carbon economy to improve the functioning of ecosystems and their services.Full metadata can be viewed on data.gov.uk.