With the White House release of guidelines for states to reopen and employees to gradually return to work, facilities are tasked with complex challenges. Managers must make decisions to ensure a safe work environment and adhere to social distancing requirements. Office layouts must be restructured for adequate spacing between workspaces and to allow for routing that minimizes close-proximity encounters. Clear communication with staff will also be a key factor: Which areas should be avoided? When has an area last be cleaned?The ArcGIS Indoors system from Esri can help answer these geospatially focused questions for reopening the workplace. With indoor maps and an indoor positioning system, managers can create a floor-plan level awareness of the workplace, one that will allow for safe reopening._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...

This dataset created in April 2017 contains information about geographic locations of interconnection facilities, and autonomous systems (ASes) that have peering interconnections at those facilities. We describe the methodology of mapping peering interconnections to interconnection facilities (and in some cases to Internet eXchange points - IXPs). [an earlier version of this dataset (10.23721/107/1364448) was withdrawn from Impact]

This blog describes 3 levels of Facility Mapping workflows for responding to the COVID-19 pandemic. From temporarily housing employees with high risk of exposure, to providing quarantine and medical treatment to those who may have been exposed, we are seeing facilities used in new ways to help combat the COVID-19 pandemic. Universities, sports arenas, and convention centers are quickly converting their facilities to support frontline emergency response.With this dramatic shift in facility use comes a specific set of questions and needs, each where location plays a vital role. What facilities are available for use and where are they located? How are they being designated for use and what work needs to be done for them to be ready? How do we help people locate what they need within the facility?_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...

When a natural disaster or disease outbreak occurs there is a rush to establish accurate health care location data that can be used to support people on the ground. This has been demonstrated by events such as the Haiti earthquake and the Ebola epidemic in West Africa. As a result valuable time is wasted establishing accurate and accessible baseline data. Healthsites.io establishes this data and the tools necessary to upload, manage and make the data easily accessible. Global scope The Global Healthsites Mapping Project is an initiative to create an online map of every health facility in the world and make the details of each location easily accessible. Open data collaboration Through collaborations with users, trusted partners and OpenStreetMap the Global Healthsites Mapping Project will capture and validate the location and contact details of every facility and make this data freely available under an Open Data License (ODBL). Accessible The Global Healthsites Mapping Project will make the data accessible over the Internet through an API and other formats such as GeoJSON, Shapefile, KML, CSV. Focus on health care location data The Global Healthsites Mapping Project's design philosophy is the long term curation and validation of health care location data. The healthsites.io map will enable users to discover what healthcare facilities exist at any global location and the associated services and resources.

ATM

The National Pollutant Release Inventory (NPRI) is Canada's public inventory of pollutant releases (to air, water and land), disposals and transfers for recycling. The files below contain a map of Canada showing the locations of all facilities that reported to the NPRI in the most recent reporting year. The map is available in both ESRI REST (to use with ARC GIS) and WMS (open source) formats. For more information about the individual reporting facilities, datasets are available in either CSV or XLS formats. Please consult the following resources to enhance your analysis: - Guide on using and Interpreting NPRI Data: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html - Access additional data from the NPRI, including datasets and mapping products: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/tools-resources-data/exploredata.html

Living near toxic release facilities may involve some exposure to pollutants, which can affect air, water, and soil quality. Accessing local environmental data helps to stay informed. This infographic shows the steps to map the closest toxic release facilities near a geographic location specified by the end user.

The geographic data are built from the Technical Information Management System (TIMS). TIMS consists of two separate databases: an attribute database and a spatial database. The attribute information for offshore activities is stored in the TIMS database. The spatial database is a combination of the ARC/INFO and FINDER databases and contains all the coordinates and topology information for geographic features. The attribute and spatial databases are interconnected through the use of common data elements in both databases, thereby creating the spatial datasets. The data in the mapping files are made up of straight-line segments. If an arc existed in the original data, it has been replaced with a series of straight lines that approximate the arc. The Gulf of America OCS Region stores all its mapping data in longitude and latitude format. All coordinates are in NAD 27. Data can be obtained in three types of digital formats: INTERACTIVE MAP: The ArcGIS web maps are an interactive display of geographic information, containing a basemap, a set of data layers (many of which include interactive pop-up windows with information about the data), an extent, navigation tools to pan and zoom, and additional tools for geospatial analysis. SHP: A Shapefile is a digital vector (non-topological) storage format for storing geometric _location and associated attribute information. Shapefiles can support point, line, and area features with attributes held in a dBASE format file. GEODATABASE: An ArcGIS geodatabase is a collection of geographic datasets of various types held in a common file system folder, a Microsoft Access database, or a multiuser relational DBMS (such as Oracle, Microsoft SQL Server, PostgreSQL, Informix, or IBM DB2). The geodatabase is the native data structure for ArcGIS and is the primary data format used for editing and data management.

The dataset shows status information for: • Chemical Bulk Storage (CBS) Facilities pursuant to the Hazardous Substance Bulk Storage Law, Article 40 of ECL; and 6 NYCRR 596-599. • Major Oil Storage Facilities (MOSF) pursuant to Article 12 of the Navigation Law and 6 NYCRR Part 610 • Petroleum Bulk Storage (PBS) Facilities registered pursuant to title 10 of Article 17 and 6 NYCRR Part 613.

Information may include: Program Number; Program Type; Site Type Name; Program Facility Name; Address; Locality; County; NYSDEC Region; Tank Number; Tank Location; Tank Status; Install Date; Capacity in Gallons; Tank Type; Close Date; Material Name (of substance in tank); Percent (of material in tank - if hazardous substance - CBS tanks only); Expiration Date; (of license or registration); Site Status Name; UTMX and UTMY location coordinates.

IDP Settlement Assessment, Baidoa, Somalia

This directory was compiled through a 2016 community mapping process as part of The City of Austin Cultural Arts Division's Cultural Asset Mapping Project (CAMP) and updated through Cultural Arts Division staff research in 2018. The directory is a comprehensive list of arts and cultural facilities, creative businesses and organizations, public art, and any other cultural or creative resources submitted by CAMP participants as cultural assets. For more information on CAMP and how you can use this directory, visit www.austintexas.gov/culturemapping.

This dataset was created by the City of Austin Economic Development Department for the sole purpose of informational reference and does not reflect an on the ground survey. No warranty is made by the City of Austin regarding specific accuracy of completeness.

This online map displays facility sites in group or by facility types in separate layers: 1. All facility types in separate layers including tank, tank setting, pit, and pipeline layers. 2. Facility Group sites, each group has associated facilities that belong to the same operator. One group site may represent multiple facilities. 3. Facility Boundary layer digitized by CalGEM to show the areas that delineate approximately any equipment ancillary for oil and gas production or injection operations that are under the jurisdiction of CalGEM (CCR 1760).CalGEM is the Geologic Energy Management Division of the California Department of Conservation, formerly the Division of Oil, Gas, and Geothermal Resources (as of January 1, 2020).WellSTAR homepageUpdate Frequency: As Needed

The PLMGEN dataset is a generalised view of PLM25 which includes land management information on LCC recs, on ground management, land manager, reserve information and legal information. This dataset is from the PLM25 suite of datasets. It is designed to be used at 1:100 000 scale. This dataset has been simplified, in that only the name field, labelling, management categories and land manager information is shown. All other fields shown in PLM25 are dropped. The data has also been dissolved to reduce the number of polygons.

PLM25 and PLMGEN have replaced the obsolete PLM100 datasets.

A PLMPUB dataset which will be available for the general public will be created at a later date. A VMLite version will also be created at a later date.

Any errors can be reported to plm25.info@delwp.vic.gov.au

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

The National Pollutant Release Inventory (NPRI) is Canada's public inventory of pollutant releases (to air, water and land), disposals and transfers for recycling. The files below contain a map of Canada showing the locations of all facilities that reported to the NPRI in the most recent reporting year. The map is available in both ESRI REST (to use with ARC GIS) and WMS (open source) formats. For more information about the individual reporting facilities, datasets are available in either CSV or XLS formats. Please consult the following resources to enhance your analysis: Guide on using and Interpreting NPRI Data: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html Access additional data from the NPRI, including datasets and mapping products: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/tools-resources-data/exploredata.html

Abstract

Service Availability Mapping (SAM) is a tool to collect and present basic information on health services: health infrastructure, human resources and services offered. Its main application is at the sub-national or Local Government level, where LGA health management teams can use the results of the SAM in conjunction with WHO's HealthMapper application, developed by the Public Health Mapping and GIS programme, to map and monitor health services. SAM is made up of a survey methodology, remote field data collection devices, and WHO's HealthMapper application

Geographic coverage

State

Analysis unit

Facility

Universe

Private non-profit facilities offering MCH, reproductive health or HIV/AIDS services Public facilities offering MCH, reproductive health or HIV/AIDS services

Kind of data

Clinical data [cli]

Sampling procedure

Six States (0ne from each of the six Geo-political zones in the country) and the Federal Capital Territory, Abuja were selected for the survey. The States covered are Kaduna (North West), Yobe (North East), Kwara (North Central), Lagos (South West), Ebonyi (South East) and Bayelsa (South South). Also Nassarawa was used for pilot is also included. All listed facilities in the selected states were covered

Sampling deviation

No deviation

Mode of data collection

Face-to-face [f2f]

Research instrument

Facility Questionnaire Overview :

Section 1: General characteristics, including infrastructure part of this questionnaire focuses on basis characteristics of the facility including the number of outpatients, inpatients and maternity beds available. It also asks about the availability of specific resources such as water, telephones and radios. Section 2: General purpose equipment section explores the availability of specific health-related resources. Section 3: Injection and sterilization equipment section asks about the main types of injection equipment used in this facility Section 4: Human resources section of the qustionnaire ask about the human resources available in the facility Section 5: Trained staff section asks about the number of staff in the facility that have received training in a number of specific interventions. Section 6: Drugs and commodities section of the questionnaire asks about the availability of specific drugs and commodities in the facilities. These are yes or no questions. Section 7: Lab tests section asks about the availability of epecific laboratory tests in the facility. We are interested in knowing what normal procedure is for laboratory tests. Section 8: Information on interventions available in the facility is that final section of the questionnaire that asks for information about some of the health interventions that may be offered in this facility

The respondents of this questionnaire are the facility directors and their teams. The questionnaire was developed in English.

Cleaning operations

Data editing was done to remove multiple data records and to clean outliers.

Response rate

100% of targeted health facilities responded in the state covered.

Sampling error estimates

No estimate for sampling error

The GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Kennedy Space Center LMA (KSCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

These data set contain the Health facilities center for Rohingya refugees and host communities in Cox's Bazar

This dataset provides boundaries of facilities, currently hospitals and schools, within mainland New Zealand originally sourced in early 2021 from a combination of NationalMap and authoritative sources, including NZ Ministry of Education and NZ Ministry of Health.

A facility represents a particular activity such as a hospital or school. A facility boundary represents the extent of the land which appears to be used by a facility. A facility boundary can be different to corresponding cadastral parcel polygons because a facility can span across multiple parcels or be located in only part of a parcel. For example, a parcel owned by the crown can include multiple schools and other facilities such as parks and reserves.

Facility boundaries in this dataset were used to apply hospital and school building names to the NZ Building Outlines dataset published on the LINZ Data Service.

A more detailed description of NZ Facilities can be found in the NZ Facilities Data Dictionary. This Data Dictionary also includes information on how NZ Facilities was used to support the attribution of NZ Building Outlines.

NZ Facilities contains data sourced from NationalMap, Ministry of Education and Ministry of Health licensed for reuse under CC BY 4.0.

Related data

NZ Building Outlines - provides current building outlines only, derived from the latest LINZ aerial imagery.

NZ Building Outlines (All Sources) - contains all combinations of building outlines from multiple years of imagery that have existed since the beginning of this dataset, and the dates when each building outline existed in the associated aerial imagery.

APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services

ArcGIS Online map services

This cruise will be composed of two separate legs. The first leg will be a transit from San Diego, CA to the Galapagos Spreading Center, where multibeam mapping, CTD casts, and CTD tow-yo operations will be performed. The ship will have a port call and science party change in Puntarenas, Costa Rica between July 2 and July 7, 2011. Following this port call, from July 7 - July 28, 2011, the ROV Little Hercules and camera sled Seirios, will investigate targets identified in Leg 1. Further multibeam mapping and CTD casts will also be performed. Leg 2 will end at Balboa, Panama.