A current, accurate spatial representation of all historic properties listed on the National Register of Historic Places is of interest to Federal agencies, the National Park Service, State Historic and Tribal Historic Preservation Offices, local government and certified local governments, consultants, academia, and the interested public. This interest stems from the regulatory processes of managing cultural resources that are consistent with the National Historic Preservation Act as Amended (NHPA), the National Environmental Policy Act as Amended, the Archaeological Resources Protection Act, and other laws related to cultural resources. The regulations promulgating these laws require the use of spatial data in support of various decisions and actions related to cultural resource management.The information contained in the feature attribute tables for this dataset is not descriptive. Rather the tables document how the data was created, where it came from, who created the data, what map parameters were used e.g. source scale, source accuracy, source coordinate system etc. Also included is information on the name of the resource, status of the resource i.e. does it still exist, is it restricted and what if any constraints are associated with the resource. Please note that each historic property listed on the National Register has its own nominating history and therefore location information collected in the nominating process is different from one property to another. Therefore metadata has been created for each listed historic property to inform the potential user of the history or lineage of the spatial information associated with the historic property. Locations associated with restricted National Register of Historic Places properties are not included in this GeoDatabase and must be requested from the National Park Service, National Register Program.The metadata in the feature attribute table are compliant with the National Park Serviceâ s Cultural Resource Spatial Data Transfer Standards. These standards were created to facilitate the exchange of spatial data within a variety of contexts, particularly Sections 106 and 110 of NHPA as well as in the context of disaster recovery events. Often locations of National Register listed properties are needed in these situations. The National Register Geo-spatial dataset is organized as a geo-database with feature class definitions based on the National Registerâ s Resource Type designations i.e. historic buildings, historic districts, historic structures, historic objects, and historic sites. The definitions of these types can be found in National Register Bulletin 16A and in the metadata statements for each feature class.

Historic inventory layers (including information on buildings, structures, objects, burial grounds, parks, landscapes, and areas) are available for viewing by all users. Information on archaeological resources is not public record and is available to authorized users only. Authorized users can login using the log in button in the top bar. Historic inventory layers (including information on buildings, structures, objects, burial grounds, parks, landscapes, and areas) are available for viewing by all users. Information on archaeological resources is not public record and is available to authorized users only. Authorized users can login using the log in button in the top bar.

This dataset contains information on properties within New York State that are listed on the State and National Registers of Historic Places as of March 2022. Please note that the New York State Historic Preservation Office (NYSHPO) and the National Park Service list approximately 100 or more new properties on both the State and National Registers of Historic Places annually, and due to the quantity NYSHPO may be delayed by several quarters in their updating of geospatial data. Please visit the New York State Cultural Resource Information System (CRIS) and contact NYSHPO directly for the most accurate and up to date information on listed properties.View Dataset on the Gateway

JMA (John Milner Associates, Inc.) has created a Geographic Information Systems (GIS) database of cultural resources studies conducted in association with the U.S. Army Corps of Engineers New York District’s Civil Works projects. This work was completed in two phases. The first phase consisted of data collection at the district office in New York City. The second phase consisted of data entry into GIS, completed at JMA’s Croton-on-Hudson, New York, office. This work was conducted on behalf the New York District U.S. Army Corps of Engineers (Corps), under Contract No. W912P9-09- D-0536 with the St. Louis District, Corps of Engineers, as part of an American Recovery and Reinvestment Act (ARRA) program enacted by Congress in 2009. The focus of all work under this contract was Section 110 Compliance of the National Historic Preservation Act (NHPA).

Geospatial data can provide valuable visualization and analytical abilities to Facility and Resource Managers in regards to maintained landscapes throughout the NPS. Maintained landscapes are records in the Facility Management Software System (FMSS) and can include battlefields, ornamental gardens, picnic areas, and other types. To map a maintained area and the features within it at the enterprise level, a geospatial data service is needed to ensure consistency, accuracy, and thorough documentation of data lineage. The Maintained Landscape Spatial Data Service will structure maintained landscape data into a common format that will enable GIS data to be easily integrated, traced, analyzed and shared across the park. Such a structure will increase users’ ability to discern the quality and accuracy of the data enabling the user to make better data driven decisions. This schema is designed to match the structure and hierarchy of FMSS so that should this system become spatially enabled this data could be utilized. Within the FMSS database, features are organized in locations records and assets records. A location record could be thought of as a bin, within which component assets records are stored. Park Facilities Management Division(PFMD) Employees of the National Park Service are tasked with managing facilities such as roads, trails, buildings, and landscapes. To properly manage these assets PFMD must make management decisions based on spatial and non-spatial data. This service allows the accurate geographic representation of maintained landscapes in a common service-wide schema. Furthermore, the establishment of a maintained landscapes spatial data service will allow for the integration of several NPS managed databases. These include (but are not limited to) the Facilities Management Software System (FMSS), the Cultural Resources Enterprise Geographic Information System (CRGIS), the Cultural Landscapes Inventory (CLI), and the List of Classified Structures (LCS). The Cultural Resource Enterprise GIS dataset contains the cultural landscapes inventory spatial data, list of classified structures spatial data, National Register spatial data and links to all of these databases, as well as other partner programs

Dissertation and dataset present an archaeological study of the Huarmey Valley region, located on the northern coast of Peru. My work uses modern and innovative digital methods. My research focuses on better understanding the location of one of the most important sites in the valley, Castillo de Huarmey, by learning about the context in which it functioned. The Imperial Mausoleum located at the site, along with the burial chamber beneath it, is considered one of the most important discoveries regarding the Wari culture in recent years.In the dissertation, I address issues concerning both the location of the site on a macro scale - in the entire Huarmey Valley, on a micro scale - the context of the Huarmey Valley delta – and the spatial relationships within the burial chamber located beneath the Mausoleum. I ask the questions (i) How did Castillo de Huarmey communicate with other sites dated to the same period located in the valley and also in adjacent valleys? Did this influence its role in the region? (ii) Is the Mausoleum at Castillo de Huarmey located intentionally and what was the meaning of this location at the micro and macro scale? (iii) What spatial relations existed between Castillo de Huarmey and other sites from the same period? (iv) Does the position of the artifacts, found in situ in the burial chamber, show important relationships between buried individuals? (v) Does spatial analysis show interesting spatial patterns within the burial inside the chamber?The questions can be answered by describing and testing the digital methods proposed in the doctoral dissertation related to both field data collection and their analysis and interpretation. These methods were selected and adapted to a specific area (the Northern Coast of Peru) and to the objective of answering the questions posed in the thesis. The wide range of digital methods used in archaeology is made possible by the use of Geographic Information Systems (abbreviated GIS) in research. To date, GIS in archaeology is used in three aspects (Wheatley and Gillings 2002): (i) statistical and spatial analysis to obtain new information, (ii) landscape archaeology, and (iii) Cultural Resource Management.My dissertation is divided into three main components that discuss the types of digital methods used in archaeology. The division of these methods will be adapted to the level of detail of the research (from the location of the site in the region, to the delta of the Huarmey Valley, to the burial chamber of the Mausoleum) and to the way they are used in archaeology (from Cultural Resource Management, to archaeological landscape analysis, to statistical-spatial analysis). One of the aims of the dissertation is to show the methodological path of the use of digital methods, i.e. from the acquisition of data in the field, through analysis, to their interpretation in a cultural context. However, the main objective of my research is to interpret the spatial relationships from the macro to the micro level, in the case described, against the background of other sites located in the valley, the location of Castillo de Huarmey in the context of the valley delta, and finally to the burial chamber of the Mausoleum. The uniqueness of the described burial makes the research and its results pioneering in nature.As a final result of my work I would like to determine whether relationships can be demonstrated between the women buried in the burial chamber and whether the location of particular categories of artifacts can illustrate specific spatial patterns of burial. Furthermore, my goal is to attempt to understand the relationship between the Imperial Mausoleum and other sites (archival as well as newly discovered) located in the Huarmey Valley and to understand the role of the site's location.Published dataset represents, described in the dissertation, mobile GIS survey on the site PV35-5 created in Survey123, ESRI application; xml and xls used for creating the survey that was used during the research of the site, as well as the results of the survey published in ArcGIS Pro package. The package includes collected data as points, saved as .shp, as well as ortophotomaps (as geotiff) and Digital Elevation Model and hillshade of PV35-5. The published dataset represents part of the dissertation describing archaeological landscape analysis of Huarmey Valley’s delta.

Cultural Points - Crossings in the Geographic Names Information System (GNIS)This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey (USGS), displays cultural points - crossings from the Geographic Names Information System (GNIS). Per USGS, “the Geographic Names Information System (GNIS) is the federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.”Delaware Cultural PointsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Cultural Points - Crossings) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 34 (Geographic Names Information System (GNIS) - USGS National Map Downloadable Data Collection)OGC API Features Link: (Geoname Cultural Points - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

Between November 2010 and January 2011, Statistical Research, Inc. (SRI), and MIRATEK provided a geographic information system (GIS) technician that supported the ongoing data review and cleanup of spatial data in the Oregon State Historic Preservation Office (SHPO). The U.S. Army Corps of Engineers (USACE), Portland District (NWP) currently lacks a comprehensive, up-to-date spatial database of the documented archaeological resources falling within or near its managed properties. In part, this results from the lack of a streamlined data exchange process between the district and the Oregon SHPO.

Compliance Report for the U.S. Army Corps of Engineers, Geographic Information Systems modeling of Prehistoric Archeological Site Sensitivity at Wappapello Lake, Missouri.

Digital GIS data were used to generate two geographic information systems (GIS) sensitivity models for prehistoric cultural resources at Wappapello Lake to serve as a management aid to the Corps, St. Louis District. The sensitivity models statistically compared and correlated 11 modern environmental and geographic datasets with known prehistoric site locations and random point datasets. The first model (“Model 1”) encompassed the area within a one-mile buffer of the Corps fee property at Wappapello Lake, while a second, and final, model was generated (“Model 2”) exclusively within the Corps fee property. Based on statistical analysis, Model 2 appears to be the most appropriate model for local prehistoric sensitivity. A GIS data DVD included with the report contains all relevant GIS data for Models 1 and 2. Both models are completely customizable and can be modified and updated as new data are acquired.

Between July 20 and September 3, 2010, Statistical Research, Inc. (SRI), conducted geomorphic investigations of a sample of reservoir banks located on U.S. Army Corps of Engineers (USACE) fee-title land around three reservoirs administered by the USACE, Omaha District (NWO): Lake Sakakawea in North Dakota, Lake Oahe in North and South Dakota, and Lake Francis Case in South Dakota. SRI investigated a total of 105 field stations in order to develop field data in support of operationalizing in a geographic information system (GIS) an existing geomorphic model for predicting bank recession. As requested, the model variables and equations were operationalized in a GIS and evaluated for each of the three lakes by SRI and their subcontractor Miratek Corporation.

A list of Place Names extracted from the ǂKhomani San | Hugh Brody Collection held by the University of Cape Town (UCT) Library.Effort has been made to geocode as many place names as possible with their geographic coordinates (Latitude & Longitude).The data set is available in three formats:• a comma separated values table (CSV); • a KMZ spatial data layer, compatible with Google Maps, Google Earth and most GIS packages; • a ZIP archive of an ESRI shapefile, compatible with most GIS packagesThis data set is incomplete. Not all resources in the collection have been processed, additional place names may be missing from the list. Geocoding was performed as accurately as our reference resources allowed, but some locations may have been misplaced.We would like to thank African Tongue and the communities of the region for their assistance with the creation of this data set.The ǂKhomani San are the first people of the southern Kalahari. They lived as hunters and gatherers in the immense desert in the northwest corner of South Africa. For them, it is a land rich in wildlife, plants, trees, great sand dunes and dry riverbeds. When the ǂKhomani San share their history, they tell a story of dispossession from their lands, erasure of their way of life, and disappearance of their language. To speak of their past is to search in memory for all that was taken from them in the colonial, apartheid and post-apartheid era. They also tell a story of reclamation and recovery of lands, language, and even of memory itself. Coordinate Reference System: Geographic Coordinate System WGS1984 (GCS WGS84)Fields - Due to software limitations diacritics were not used in field names:Place_Name: Name of placeLatitude: Latitude Ordinate GCS WGS84Longitude: Longitude Ordinate GCS WGS84Notes_Loc: Any extra information about the place name location, either from the collection or discovered by the authors.Source: The source of the geographic coordinatesLocal Name: This is the name as it may have changed locallyEng: English nameAfr: Afrikaans namekqz_Kora: Kora namenaq_Nama: Nama namengh_Nuu: Nuu nametsn_Tswana: Tswana namegla_Scottish_Gaelic: Gaelic namefra_French: French nameNotes_ling: notes of linguistic interest

Political Points in the Geographic Names Information System (GNIS)This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays political points from the Geographic Names Information System (GNIS). Per USGS, “the Geographic Names Information System (GNIS) is the federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.”Political Points of Populated Places, Civil, Forest, Parks, and ReservesData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (geonames) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionGeoplatform: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionOGC API Features Link: (Political Points in the Geographic Names Information System (GNIS) - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

During August 1996, the National Park Service's (NPS) Submerged Cultural Resources Unit (SCRU) conducted a multiresource remote-sensing survey in Yellowstone Lake, Yellowstone National Park (YELL). The general strategy was to apply methodology developed by SCRU for marine resource hydrographic survey to specific management issues at Yellowstone Lake. The first submerged resources surveys designed specifically for Geographic Information System (GIS) applications were conducted several years earlier by SCRU in areas of the National Park System in Florida.

A research design for the phased inventory of cultural resources on the Marine Corps Air Ground Combat Center at Twentynine Palms, California, is presented. The survey design is oriented around a series of research questions pertinent to current studies of prehistoric and historic cultures of the eastern Mojave Desert. For prehistoric periods, these questions focus on cultural chronology, paleoecological reconstruction, and settlement and subsistence. Ethnohistoric research questions revolve around the role of ethnic affiliation and the effects of Euro-American intrusion on native life. For the Historic period research, interests focus on issues related to early mining. A stratified sample design was developed for the inventory program. This design divided the base into seven sampling universes. Each sampling universe was in turn divided among four strata; spring/lake, bajada, mountain, and lava bed. A square kilometer was chosen as the sample unit, and a reiterative sampling approach was advocated. Survey methods were designed to yield reliable and consistent results. In addition to sampling concerns, an approach to settlement location modeling based on the capabilities of a geographic information system was presented. Finally, additional programs were suggested in geomorphology, museum studies, and archival research.

A recent reanalysis of the spatial distribution of artifacts from the Bell site (47WN9) near Oshkosh, Wisconsin, provides an updated interpretation of seventeenth and early eighteenth century activities associated with the Grand Village of the Meskwaki in that locale. Although archaeologists now routinely conduct analyses of artifact distributions at the intrasite level, using Geographic Information Systems (GIS) and other mapping technologies to record and visualize spatial data, sometimes even in real-time during excavations, application of GIS methods to older collections are rarer. This case study (1) documents methods used to map feature-associated artifacts and identify spatial patterning, (2) presents new visualizations of artifact distributions at the Bell site, and (3) revises earlier interpretations of the community plan of the site (Behm 1998, 2008). The results demonstrate the importance of continuing to update curation and research strategies for previously collected artifacts and archaeological data, using a method that is widely applicable to other archaeological sites and that makes effective use of existing cultural resources.

The Center for Advanced Spatial Technologies (CAST) National Database of GIS data presented here have been collected at The Center for Advanced Spatial Technologies (CAST) with funding provided from the Construction Engineering Research Laboratory (CERL) of the U.S. Army Corps of Engineers, the Natural Resources Conservation Service (NRCS) and the National Park Service (NPS).

This data has been gathered in anticipation of a National Archeological Overview. The Legacy program supervised by the Construction Engineering Research Laboratory (CERL) of the U.S. Army Corps of Engineers has funded two regional archeological studies: the Southwest Division Overview (SWDO) and the The Central and Northern Plains Overview (CNPO). Both projects involved the compilation of archeological subregional syntheses, the collection of archeological citations most significant to these areas cultural resource management and the creation of GIS layers showing both the extent of cultural resources and environmental trends.

The Construction Engineering Research Laboratory funded CAST for one year to gather a very extensive set of National GIS layers in order to demonstrate the need, feasibility and potentials for a national study which would use spatial data as a base for analysis.

The data originates from census information, remote sensing studies, data collected at specific points/stations. It is related to several themes tightly connected to the understanding of cultural resources: archeological site distribution, climate, tree-ring, pollen studies, vegetation, agriculture and population.

[Summary provided by CAST.]

Historical Points in the Geographic Names Information System (GNIS)This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays historical points from the Geographic Names Information System (GNIS). Per USGS, “the Geographic Names Information System (GNIS) is the federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.”Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (geonames) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionGeoplatform: Geographic Names Information System (GNIS) - USGS National Map Downloadable Data CollectionFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

Fisheries Management Zones have replaced former Fishing Divisions and are the geographic basis for managing, monitoring, assessing and regulating recreational fisheries for a majority of lakes and streams in a zone.

Each zone is based on angler usage and ecological/geographic patterns such as climate zones, watersheds and road networks.

This product requires the use of GIS software.

*[GIS]: geographic information system

The Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included in its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS. These various agencies have ongoing concerns related to erosion hazards and vulnerability of the system including critical infrastructure, habitats, and recreational and cultural resources. The USGS conducted a bathymetric mapping survey August 18-20, 2014, in the Atlantic Ocean offshore of Cape Canaveral, Florida (USGS Field Activity Number 2014-324-FA). The study area covered an area extending south from Port Canaveral, Florida, to the northern end of the KSC property and from the shoreline to about 2.5 km offshore. Bathymetric data were collected with single-beam sonar- and lidar-based systems. Two jet skis and a 17-ft outboard motor boat equipped with the USGS SANDS hydrographic system collected precision sonar data. The sonar operations were conducted in three missions, one on each day, with the boat and jet skis operating concurrently. The USGS airborne EAARL-B mapping system flown in a twin engine plane was used to collect lidar data. The lidar operations were conducted in three missions, one in the afternoon of August 19, 2015, and two more in the morning and afternoon of August 20, 2014. The missions were synchronized such that there was some temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate the actual water clarity corresponding to lidar's ability to receive bathymetric returns. This dataset serves as an archive of processed single-beam and lidar bathymetry data collected at Cape Canaveral, Florida, in 2014 (in XYZ comma delimited, ASCII and shapefile format). Also included in this archive are Geographic Information System (GIS) data products: gridded map data (in ESRI binary and ASCII grid format), and a color-coded bathymetry map (in PDF format).

Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Greendale Fire DepartmentData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets