The FDOT GIS Roads with Median Types feature class provides spatial information on Florida Median Types distinguishing between lawn, paved, painted, and curbed medians. It also notes where a fence, guardrail, or barrier wall divides the two sides of a divided road. A median is defined as a barrier or other physical separation between two lanes of traffic traveling in opposite directions, which can either be raised, painted, or paved. This information is required for all functionally classified roadways On or Off the SHS. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/08/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/median_type.zip

Mapping of the areas of naturalistic interest included in the Land Planning Guidelines of the Basque Country (DOT) at a scale of 1:25,000 (year 1997). Law 4/1990 of 31 May 1990 on the planning of the territory of the Basque Country defines the spatial planning instruments of the Basque Country. Among them, the Territorial Planning Guidelines (DOT) constitute the general framework of reference and to them the rest of the documents that are made must be adapted. The aforementioned Law establishes, as one of the determinations that must be included in the DOT, "the delimitation and precise definition of the areas or areas that must be subject to special protection in order to preserve their ecological, cultural or economic values and ensure, where appropriate, the rational exploitation of the natural resources existing in them, in accordance with the specific legislation in each applicable case." For these areas, a regulation is included, with binding character, that refers to the uses and activities in them prohibited, admissible or propitiated. In addition, in the DOT an "Open List of Areas of Natural Interest" is attached, as spaces to be taken into consideration by territorial, sectoral and municipal planning in order to preserve their ecological, cultural and economic values.In some cases, these areas have already been included (fully or partially) in other protection figures.

This dataset contains Hadamard pattern illumination and time-domain diffuse optical tomography (TD-DOT) measurements, including both simulated time domain data and frequency-domain converted data. MATLAB scripts are provided for visualizing Hadamard patterns, data and reconstructing 3D maps of optical properties.

The dataset supports the forthcoming publication “Spatial and temporal modulation in time-domain diffuse optical tomography".

The dataset contains four nighttime lights satellite imageries as the source data, which were taken from Wuhan Ccity on June 14, 2018, Wuhan City on September 15, 2018, Shenyang City on September 10, 2018 and Shenyang City on March 17, 2019. The dataset also provides the "result.mxd" file for urban commercial areas detection using these four imageries .

The ESA SPOT 1-5 collection is a dataset of SPOT 1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. The SPOT Collection

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

Spot 5 pan-sharpened satellite image in the Standard Creek area of the Tanana Valley, Alaska. This image was acquired and processed as part of the "Vegetation and Community Mapping of the Tanana Valley" project, conducted cooperatively by the State of Alaska Department of Natural Resources, Division of Forestry and Tanana Chiefs Conference. Originator: State of Alaska, Dept. of Nat. Resources, Division of Forestry. Publication_Date: 3/21/05. Geospatial_Data_Presentation_Form: remote-sensing image.

Spot Height is a point feature class representing individual points on the earth’s surface, the elevation of which has been related to a datum by ground or photogrammetric survey. It is a part of the NSW Digital Topographic Database (DTDB).

Spot 5 pan-sharpened satellite image in the North Fairbanks area of the Tanana Valley, Alaska. This image was acquired and processed as part of the "Vegetation and Community Mapping of the Tanana Valley" project, conducted cooperatively by the State of Alaska Department of Natural Resources, Division of Forestry and Tanana Chiefs Conference. Originator: State of Alaska, Dept. of Nat. Resources, Division of Forestry. Publication_Date: 3/21/05. Geospatial_Data_Presentation_Form: remote-sensing image.

The FDOT GIS On System roads feature class provides spatial information on active main-line roads maintained by Florida DOT. For On System, the segment status is coded as 02. The STATEXPT information that determines road status is required for all roadways in the Roadway Characteristics Inventory (RCI) database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/15/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/on_system.zip

Race is a social and historical construct, and the racial categories counted by the census change over time so the process of constructing stable racial categories for these 50 years out of census data required complex and imperfect decisions. Here we have used historical research on early 20th century southern California to construct historic racial categories from the IPUMS full count data, which allows us to track groups that were not formally classified as racial groups in some census decades like Mexican, but which were important racial categories in southern California. Detailed explanation of how we constructed these categories and the rationale we used for the decisions we made can be found here. Layers are symbolized to show the percentage of each of the following groups from 1900-1940:AmericanIndian Not-Hispanic, AmericanIndian Hispanic, Black non-Hispanic, Black-Hispanic, Chinese, Korean, Filipino and Japanese, Mexican, Hispanic Not-Mexican, white non-Hispanic. The IPUMS Census data is messy and includes some errors and undercounts, making it hard to map some smaller populations, like Asian Indians (in census called Hindu in 1920) and creating a possible undercount of Native American populations. The race data mapped here also includes categories that may not have been socially meaningful at the time like Black-Hispanic, which generally would represent people from Mexico who the census enumerator classified as Black because of their dark skin, but who were likely simply part of Mexican communities at the time. We have included maps of the Hispanic not-Mexican category which shows very small numbers of non-Mexican Hispanic population, and American Indian Hispanic, which often captures people who would have been listed as Indian in the census, probably because of skin color, but had ancestry from Mexico (or another Hispanic country). This category may include some indigenous Californians who married into or assimilated into Mexican American communities in the early 20th century. If you are interested in mapping some of the other racial or ethnic groups in the early 20th century, you can explore and map the full range of variables we have created in the People's History of the IE IE_ED1900-1940 Race Hispanic Marriage and Age Feature layer.Suggested Citation: Tilton, Jennifer. People's History Race Ethnicity Dot Density Map 1900-1940. A People's History of the Inland Empire Census Project 1900-1940 using IPUMS Ancestry Full Count Data. Program in Race and Ethnic Studies University of Redlands, Center for Spatial Studies University of Redlands, UCR Public History. 2023. 2025Feature Layer CitationTilton, Jennifer, Tessa VanRy & Lisa Benvenuti. Race and Demographic Data 1900-1940. A People's History of the Inland Empire Census Project 1900-1940 using IPUMS Ancestry Full Count Data. Program in Race and Ethnic Studies University of Redlands, Center for Spatial Studies University of Redlands, UCR Public History. 2023. Additional contributing authors: Mackenzie Nelson, Will Blach & Andy Garcia Funding provided by: People’s History of the IE: Storyscapes of Race, Place, and Queer Space in Southern California with funding from NEH-SSRC Grant 2022-2023 & California State Parks grant to Relevancy & History. Source for Census Data 1900- 1940 Ruggles, Steven, Catherine A. Fitch, Ronald Goeken, J. David Hacker, Matt A. Nelson, Evan Roberts, Megan Schouweiler, and Matthew Sobek. IPUMS Ancestry Full Count Data: Version 3.0 [dataset]. Minneapolis, MN: IPUMS, 2021. Primary Sources for Enumeration District Linework 1900-1940 Steve Morse provided the full list of transcribed EDs for all 5 decades "United States Enumeration District Maps for the Twelfth through the Sixteenth US Censuses, 1900-1940." Images. FamilySearch. https://FamilySearch.org: 9 February 2023. Citing NARA microfilm publication A3378. Washington, D.C.: National Archives and Records Administration, 2003. BLM PLSS Map Additional Historical Sources consulted include: San Bernardino City Annexation GIS Map Redlands City Charter Proposed with Ward boundaries (Not passed) 1902. Courtesy of Redlands City Clerk. Redlands Election Code Precincts 1908, City Ordinances of the City of Redlands, p. 19-22. Courtesy of Redlands City Clerk Riverside City Charter 1907 (for 1910 linework) courtesy of Riverside City Clerk. 1900-1940 Raw Census files for specific EDs, to confirm boundaries when needed, accessed through Family Search. If you have additional questions or comments, please contact jennifer_tilton@redlands.edu.

While a single approaching object is known to attract spatial attention, it is unknown how attention is directed when the background looms towards the observer as s/he moves forward in a quasi-stationary environment. In Experiment 1, we used a cued speeded discrimination task to quantify where and how spatial attention is directed towards the target superimposed onto a cloud of moving dots. We found that when the motion was expansive, attention was attracted towards the singular point of the optic flow (the focus of expansion, FOE) in a sustained fashion. The effects were less pronounced when the motion was contractive. The more ecologically valid the motion features became (e.g., temporal expansion of each dot, spatial depth structure implied by distribution of the size of the dots), the stronger the attentional effects. Further, the attentional effects were sustained over 1000 ms. Experiment 2 quantified these attentional effects using a change detection paradigm by zooming into or out of photographs of natural scenes. Spatial attention was attracted in a sustained manner such that change detection was facilitated or delayed depending on the location of the FOE only when the motion was expansive. Our results suggest that focal attention is strongly attracted towards singular points that signal the direction of forward ego-motion.

This GIS protocol is primarily intended as supplementary material to the article (Štular et al., 2022). The article contains important contextual information about its intended use. In short, this GIS protocol was developed for the purposes of archaeological regional analysis of spatial data. The data are provided elsewhere in spreadsheet format (Štular et al., 2021). Data in GIS format are included in this repository. The GIS protocol can be used with any relevant data for any purpose as long as the data format matches the format of the included data.

Includes GIS protocol (textual description) and GIS data in *.shp format.

The FDOT GIS Off System Roads feature class provides spatial information on Florida Roads not maintained by Florida DOT that are city or county owned. For Off System, the segment status is coded as 09. The STATEXPT information that determines road status is required for all roadways in the Roadway Characteristics Inventory (RCI) database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/01/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/off_system.zip

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

Spatial representation of coastline movements data for the Department of Transport (DoT) (WA). The Polyline feature class contains line work that represent the position of the vegetation lines for …Show full descriptionSpatial representation of coastline movements data for the Department of Transport (DoT) (WA). The Polyline feature class contains line work that represent the position of the vegetation lines for WA held by DoT. The complete dataset also includes generalised waterlines and line features that mark the extent of sand drift areas along the WA coast. This data is available by request from DoT. This data has been captured using available imagery and photogrammetrical techniques.These Coastline Movement Lines are used by the Department of Transport, WA, to produce coastline movement drawings. These drawings and their associated data are used by coastal engineers to estimate horizontal setback datum used in coastal planning.

The FDOT GIS Maximum Speed Limits provides spatial information Maximum Speed Limits on Florida Roadways. It is required for all designated roadways on the SHS and HPMS samples. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/22/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/maxspeed.zip

A GeoJSON file with all spatial roadway data for all sections from the 2024 Highway Performance Monitoring System (HPMS) attached to the All Road Network of Linear Referenced Data (ARNOLD) network. This file was produced using what is known as the “Spatial Full Join” process in HPMS, which is a spatial dynamic segmentation of the HPMS data to create homogeneous roadway sections. To be included in the file, only one data item must be present on a section of road. See attached README file for more details.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This feature service provides access to the spatial dataset that represents roadway centerline sections that serve as the main lanes for through traffic. These lanes are designed for vehicles to travel continuously without the need to exit or merge, improving traffic flow and safety. By separating through traffic from merging or turning movements, these lanes help reduce the risk of collisions and enhance roadway efficiency. The number of lanes designated for through traffic is provided in the attribute (tabular) data, allowing for detailed analysis of roadway capacity and traffic patterns. This selection is made by the Kentucky Transportation Cabinet (KYTC), Division of Planning, for apportionment, administrative, legislative, analytical, and pavement performance analysis/reporting purposes. This dataset supports transportation planning, traffic safety analysis, and infrastructure management in alignment with guidelines from the American Association of State Highway and Transportation Officials (AASHTO), the Federal Highway Administration (FHWA), and the Highway Safety Improvement Program (HSIP). It is also used by KYTC, the Kentucky Department of Transportation (KY DOT), and the U.S. Department of Transportation (US DOT) to improve roadway design and traffic management. For more information on the program, funding, or program definitions, please refer to the FHWA Highway Performance Monitoring System Field Manual, pg. 4-27: