The table Firm survey wave 1 and 2 (GIS) is part of the dataset SEDRI Ethiopia firm survey (GIS), available at https://stanford.redivis.com/datasets/rxq3-9x047we25. It contains 1585 rows across 3377 variables.

Discover the booming GIS Data Collector market! This comprehensive analysis reveals a $2.5B market in 2025, projected to reach $4.2B by 2033, fueled by precision agriculture, infrastructure development, and technological advancements. Explore key trends, drivers, restraints, and leading companies shaping this dynamic sector.

The Missouri Public Land Survey System is a 1:24,000 scale geographic information systems (GIS) polygon layer based on the 7.5' United States Geological Survey (USGS) topographic maps. This data set has been extensively edited to improve the accuracy of the original product.

A quick guide to the Surveyor Bookmark application:Includes a web mapping interface geared to the Surveyor community. Contains the below layers among many more for referenceNational Geodesic Survey (NGS) datasheets: Feature Service for NOAA's National Geodetic Survey Datasheets. This data contains a set of geodetic control stations maintained by the National Geodetic Survey. Each geodetic control station in this dataset has either a precise Latitude/Longitude used for horizontal control or a precise Orthometric Height used for vertical control, or both. The National Geodetic Survey (NGS) serves as the Nation's depository for geodetic data. The NGS distributes geodetic data worldwide to a variety of users. These geodetic data include the final results of geodetic surveys, software programs to format, compute, verify, and adjust original survey observations or to convert values from one geodetic datum to another, and publications that describe how to obtain and use geodetic data products and services. OPUS Shared Solutions: This data layer contains user-contributed geodetic control marks with shared GPS observations, which provide local ties to the National Spatial Reference System. This data layer is updated every week night. For more information about OPUS please visit the About OPUS page. If you would like to upload your own opus solution please visit our upload opus solution page. For additional information about shared solution please visit our shared solutions page.The NOAA Continuously Operating Reference Stations (CORS) Network (NCN), managed by NOAA/National Geodetic Survey, provide Global Navigation Satellite System (GNSS) data, supporting three dimensional positioning, meteorology, space weather, and geophysical applications throughout the United States.Surveyors, GIS users, engineers, scientists, and other people who collect GPS/GNSS data can use NCN data, acquired at fiducial geodetic control stations, to improve the precision of their positions, and align their work within the National Spatial Reference System (NSRS). NCN enhanced post-processed coordinate accuracies can approach a few centimeters, both horizontally and vertically.The NOAA Continuously Operating Reference Stations (CORS) Network: The CORS network is a multi-purpose, multi-agency cooperative endeavor, combining the efforts of hundreds of government, academic, and private organizations. The stations are independently owned and operated. Each agency shares their GNSS/GPS carrier phase and code range measurements and station metadata with NGS, which are analyzed and distributed free of charge.NYS DOT Roadway Inventory Data: which includes State Highway Number (SH #)Many more, such as: Civil Boundaries, Streets, Elevation Contours, Building Footprints with address information, publicly available Tax Parcels, Hydrography (great for cartographic purposes!), Statewide Hillshade, Statewide Latest Digital Elevation Model, and the Latest and Greatest Orthoimagery from the great folks at NYS ITS Geospatial Data Services' Orthoimagery Program!We also offer a Basic Viewer App within this same interface for viewing many layers, unrelated to surveying.

The 3D Land Surveying System market is booming, projected to reach $650.3 million in 2025 with a 15.2% CAGR. Discover key trends, drivers, and regional insights shaping this rapidly expanding sector. Learn more about the future of land surveying technology.

The Digital Geologic-GIS Map of the Ready Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (read_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (read_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (read_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (read_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (read_geology_metadata.txt or read_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

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The fully intersected data is the atomic level of the PLSS that is similar to the coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication.

Discover the booming Aerial Photogrammetry Surveying Services market! Explore a projected $2.5 billion USD market in 2025, growing at a 7% CAGR. Learn about key drivers, trends, and regional insights from our comprehensive analysis. Uncover opportunities in UAV technology, LiDAR, and diverse applications across multiple industries.

Usage

The prefixes f1_ and f2_ indicate that variables correspond to either wave 1 or wave 2, respectively.

The land surveying instrument market is booming, projected to reach $9.96 billion by 2033 with a 5.8% CAGR. This report analyzes market size, trends (robotic total stations, GNSS), key players (Hexagon, Trimble), and regional breakdowns. Discover growth opportunities in construction, surveying, and mapping.

Explore the global land survey equipment market analysis, key insights, market size of $646.2 million by 2025 with a 3.7% CAGR, and projections to 2033. Discover drivers, trends, restraints, and regional growth.

The Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (rhod_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (rhod_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (rhod_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (rhod_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (rhod_geology_metadata.txt or rhod_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This data layer is an element of the Oregon GIS Framework. This theme contains PLS lines for the State of Oregon. This PLS theme includes donation claims lands. Attributes in this theme show Township Range and Section values.

The Land Survey Equipment System market is experiencing robust growth, driven by increasing infrastructure development globally, the burgeoning need for precise land management in agriculture, and the expanding adoption of advanced surveying techniques in various sectors like mining and energy. The market is segmented by application (agriculture, transportation, energy & power, mining, and others) and type (hardware, software, services). While precise figures for market size and CAGR require specific data, considering the technological advancements in GPS, LiDAR, and other surveying technologies, along with the rising demand for accurate spatial data across various industries, a conservative estimate places the 2025 market size at approximately $15 billion, with a projected CAGR of 6-8% through 2033. This growth is fueled by the integration of automation and data analytics into surveying processes, leading to increased efficiency and accuracy. Major players like Trimble, Hexagon, and Leica Geosystems are at the forefront, driving innovation and market consolidation through strategic partnerships and technological advancements. The market is further influenced by government regulations related to land management and infrastructure projects, particularly in developing economies experiencing rapid urbanization. The restraints to market growth include the high initial investment costs associated with advanced surveying equipment, the need for skilled professionals to operate and interpret the data, and potential disruptions from evolving technologies. However, these challenges are being mitigated by financing options, specialized training programs, and the increasing accessibility of user-friendly software solutions. The future of the Land Survey Equipment System market lies in the convergence of technologies such as IoT, cloud computing, and AI, which promise to further enhance accuracy, efficiency, and data accessibility for a wide range of applications. Geographic expansion, particularly in emerging markets with significant infrastructure development needs, will be a key driver of growth in the coming years. The market will likely see further segmentation based on specialized application needs within each industry, leading to the development of niche products and services.

The United States Public Land Survey (PLS) divided land into one square mile units, termed sections. Surveyors used trees to locate section corners and other locations of interest (witness trees). As a result, a systematic ecological dataset was produced with regular sampling over a large region of the United States, beginning in Ohio in 1786 and continuing westward.
We digitized and georeferenced archival hand drawn maps of these witness trees for 27 counties in Ohio. This dataset consists of a GIS point shapefile with 11,925 points located at section corners, recording 26,028 trees (up to four trees could be recorded at each corner). We retain species names given on each archival map key, resulting in 70 unique species common names. PLS records were obtained from hand-drawn archival maps of original witness trees produced by researchers at The Ohio State University in the 1960’s. Scans of these maps are archived as “The Edgar Nelson Transeau Ohio Vegetation Survey” at The Ohio State University: http://hdl.handle.net/1811/64106.
The 27 counties are: Adams, Allen, Auglaize, Belmont, Brown, Darke, Defiance, Gallia, Guernsey, Hancock, Lawrence, Lucas, Mercer, Miami, Monroe, Montgomery, Morgan, Noble, Ottawa, Paulding, Pike, Putnam, Scioto, Seneca, Shelby, Williams, Wyandot. Coordinate Reference System: North American Datum 1983 (NAD83). This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

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These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.