Icons style contains point symbols to be displayed in screen space, making them useful for showing the location of content at all viewing distances.

Icons style contains point symbols to be displayed in screen space, making them useful for showing the location of content at all viewing distances.

A custom 120x120px image created by the Ada County Highway District's GIS department for use as a category icon linked to the point, line, and polygon layers of the Integrated Five Year Work Plan in the Public Open Data hub.

Icon file utilized for the display of major injury crashes.

A custom 120x120px image created by the Ada County Highway District's GIS department for use as a category icon linked to the Roadwork (RITA) layer in the Public Open Data hub.

description: The National Weather Service (NWS) Storm Prediction Center (SPC) routinely collects reports of severe weather and compiles them with public access from the database called SeverePlot (Hart and Janish 1999) with a Graphic Information System (GIS). The composite SVRGIS information is made available to the public primarily in .zip files of approximately 50MB size. The files located at the access point contain track information regarding known tornados during the period 1950 to 2006. Although available to all, the data provided may be of particular value to weather professionals and students of meteorological sciences. An instructional manual is provided on how to build and develop a basic severe weather report GIS database in ArcGis and is located at the technical documentation site contained in this metadata catalog.; abstract: The National Weather Service (NWS) Storm Prediction Center (SPC) routinely collects reports of severe weather and compiles them with public access from the database called SeverePlot (Hart and Janish 1999) with a Graphic Information System (GIS). The composite SVRGIS information is made available to the public primarily in .zip files of approximately 50MB size. The files located at the access point contain track information regarding known tornados during the period 1950 to 2006. Although available to all, the data provided may be of particular value to weather professionals and students of meteorological sciences. An instructional manual is provided on how to build and develop a basic severe weather report GIS database in ArcGis and is located at the technical documentation site contained in this metadata catalog.

A building is a structure that has a roof and walls and stands more or less permanently in one place. Symbols are used when buildings and structures are permanent landmarks. Symbolized buildings have no side larger than 50 metres for 1:20,000 data or no side larger than 30 metres for 1:10,000 data. Small structures (including buildings less than 50 square metres) are not shown unless they constitute a point of orientation. This product requires the use of GIS software. Land Information Ontario: Data Class Fact Sheet - Building to Scale (PDF) *[GIS]: geographic information system

Go Green category image.

VT E911 Composite geocoder - uses ESITE, RDSNAME, and RDSRANGE. REFRESHED WEEKLY. VCGI, in collaboration with the VT E911 Board, has created a suite of geocoding services that can be used to batch geocode addresses using ArcGIS Desktop 10.x. This service can also be integrated into ESRI ArcGIS web-based mapping applications.Input Address Requirements Must use valid E911 addresses (street style addressing...no P.O. box addresses!) and E911 town names. Limitations Don't attempt to geocode more than 50000 records or so. You must have an Internet connection to use the services. A DSL, cable, or other high bandwidth connection is the best option. Addresses other than E911 addresses are not supported. ArcGIS Pro - How To:Startup ArcGIS ProUnder the "Insert" ribbon select Connections --> New ArcGIS Server. Server URL = https://maps.vcgi.vermont.gov/arcgis/servicesBrowse to the ./EGC_services folder and select GEOCODE_COMPOSITE (or GEOCODE_ESITE).Add the table you want to geocode to project, then right-click and select "Geocode Table". Choose the “Go to Tool” option at the bottom of the dialogue box.Make selections and run geocoder.ArcGIS Desktop (ArcMap) - How To: Startup ArcMap 10+ Add a table containing VT addresses to geocode. ?Click the "Add Data" button.Navigate to your table, choose to add your tableRight-click on the table in the table of contentsSelect "Geocode Addresses...".Select "Add" in the dialog box.Browse to the "GIS Servers" icon in your catalog, then double click "Add ArcGIS Server".Select "Use GIS Services", then Next.ServerURL = https://maps.vcgi.vermont.gov/arcgis/services then click finish.Browse to "arcgis on maps.vcgi.org (user)". Browse to .\EGC_services folder.Select GECODE_ESITE (or GEOCODE_COMPOSITE). Click OK.Select whatever options you want in the geocode dialog box, including output, then click ok.The output will be automatically added to your ArcMap session.

Transportation category image.

ArcGIS Hub site and page customization: Tips, tricks, and samples._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...

Political category image.

Geospatial data about South Island Soilscapes ESRI symbol layer file . Export to CAD, GIS, PDF, CSV and access via API.

To view and download tax plat maps, click on the DATA tab above. To find a map, select a column heading to sort the table by zone or section number. Or refine your search by the clicking the filter icon at the top of each column. To view or download the tax plat map, click on the URL under ViewMap next to the ZSP map number. Alternatively, use the online Parcel and Zoning Map to search for tax plat maps by address, tax map key (TMK), or using a map interface.

To view and download tax plat maps, click on the DATA tab above. To find a map, select a column heading to sort the table by zone or section number. Or refine your search by the clicking the filter icon at the top of each column. To view or download the tax plat map, click on the URL under ViewMap next to the ZSP map number. Alternatively, use the online Parcel and Zoning Map to search for tax plat maps by address, tax map key (TMK), or using a map interface.

A building is a structure that has a roof and walls and stands more or less permanently in one place. Symbols are used when buildings and structures are permanent landmarks. Symbolized buildings have no side larger than 50 metres for 1:20,000 data or no side larger than 30 metres for 1:10,000 data. Small structures (including buildings less than 50 square metres) are not shown unless they constitute a point of orientation. Instructions for downloading this dataset: * select the link below and scroll down the metadata record page until you find Transfer Options in the Distribution Information section * select the link beside the Data for download label * you must provide your name, organization and email address in order to access the dataset. This product requires the use of GIS software. Land Information Ontario: Data Class Fact Sheet - Building to Scale (PDF) *[GIS]: geographic information system

In 2010 we undertook sampling of soil and waters around Wilkes station and the main tip site. We repeated the work of Snape et al. 1999 and took a more dense set of samples across the area to determine the extent and types of contamination. These data are complementary to the 1999 GIS dataset (see the metadata record with ID - ASAC_1163_WilkesGis_1999).

Description: Additional spatial data were collected and added to the existing AAD Wilkes GIS database (Nadia Babicka map). Locations of sediment, water, potentially hydrocarbon contaminated sediment, potentially hydrocarbon contaminated water and background samples were collected by Macquarie University and AAD staff, in January 2010, including hyperlinked sample photos; locations of Wilkes station buildings with numbers from Snape et al (1998)

Created by: Macquarie University, Oct 2010

Files: The data are held as an ArcGIS 9.3 document with associated shapefiles.

Wilkes_Bab_MU2010: ArcGIS map file WilkesMac2010: excel spreadsheet of sample data collected by Macquarie University staff, Jan 2010 Bab_gis_data: underlying data for Babicka GIS database Sample_Pics: Photos of sites of sample collected by Macquarie University Staff, Jan 2010 Layer files: layer files are all listed as MU_Sed2010; MU_Water2010; MU_HCSed2010; MU_HCWater2010; MU_Bkgnd2010; Buildings

Operation: Hyperlinked photos activated by selecting 'lightning bolt' icon from tool bar - features with hyperlinks are highlighted in blue - wave mouse pointer over desired feature, when lightning bolt turns black, left click and hyperlinked doc will pop up.

Community category image.

Basic information

This dataset contains two folders; in output-measurements are daily averaged TURDATA (see https://zenodo.org/records/10655033) results for air quality measurements. In folder output-simulations contains simulation results for the so-called Legerova domain, an area in the city of Prague, Czech Republic, centered around the traffic-heavy streets Legerova and Sokolská. All times are in UTC (local time in winter, CET, is UTC +01:00, summer time, CEST, is UTC +02:00). In total 6 episodes in 2022 and 2023 was selected:

s1 2022-07-17 00:00:00 - 2022-07-20 00:00:00

s2: 2022-08-02 00:00:00 - 2022-08-05 00:00:00

s3: 2022-09-22 00:00:00 - 2022-09-25 00:00:00

s4: 2022-12-08 00:00:00 - 2022-12-11 00:00:00

s5: 2023-01-27 00:00:00 - 2023-01-30 00:00:00

s6: 2023-02-13 00:00:00 - 2023-02-16 00:00:00

For all episode’s boundary conditions from regional model ICON (see icon in folder nomenclature) were used. However, for a very stable condition during s6 two additional regional models were used (WRF and ALADIN; see wrf or alad) that provided boundary conditions closer to the observed meteorology. For more detailed description of the experiments see the TURBAN project website at https://www.project-turban.eu/.

General organisation

Each selected epizode (s1-s6) has three folders; post-processed results from the PALM model as averaged ASCII (output-ascii) or GeoTiff (output-gis) files that can be viewed in many GIS applications and maps in the PNG format (output-png). Each variable was averaged from original 10min values to 1 and 24-hour averages.

Modelled variables

Each subfolder includes 3 subfolders with variables. Variable bio_pet is the Physiological Equivalent Temperature (PET), bio_utci is the Universal Thermal Climate Index (UTCI) and kc_PM10 is the concentration of PM10 at 3m above ground. Episodes s4 and s6 includes 3 more subfolders: kc_NO is the concentration of NO, kc_NO2 is the concentration of NO2 and kc_PM25 is the concentration of PM2.5 at 3m above ground.

File nomenclature

Each file (PRJ, TIF, ASC or PNG) has the same nomenclature. An example (bio_utci_abs-01h_20190724_1200-1300.png) could be parsed as: variable name (bio_utci), processed output (abs-01h), date (20190724) and averaged period (1200-1300). So, the result is a map with hourly averaged UTCI for 24 Jul 2019 between 12:00 and 13:00 UTC.

Important note

During the processing phase a few potentially important problems were identified and need to be analysed in detail. One of them are extremely overestimated concentrations due to stable conditions from boundary condition inputs. In certain situations, it can happen that the overall best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation. The issue will be addressed in an upcoming manuscript that will be available through the project website.

Acknowledgements

The PALM simulations, and pre- and postprocessing were performed partially on the HPC infrastructure of the Institute of Computer Science of the Czech Academy of Sciences (ICS), supported by the long-term strategic development financing of the ICS (RVO:67985807) and partially on the IT4I HPC infrastructure supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254). The work was performed within the project TURBAN (TO01000219; TURBAN – Turbulent-resolving urban modelling of air quality and thermal comfort) supported by Norway Grants and Technology Agency of the Czech Republic.

The Kansas Department of Transportation's KanDrive Traveler Information website is provided to assist motorists in their decision making on Kansas roadways. Icons on the map represent incidents, planned construction, weather events, road conditions, traffic speed information, devices, etc. that could have an impact on travel. Clicking on an icon will display the details of the event at the left of the web page. On phones and tablets the details of the event will display on the bottom of the screen.More information about the Kansas Department of Transportation (KDOT) can be found at the following URL: ksdot.org.