Property lines mapped as parcel polygons within Langley Township. The data includes the following information: Folio, PID, and civic address of existing parcels Description The Township uses two survey systems. The first was 1859 District Lot system which still describes many properties near the Fraser River. The District Lot system was superseded in 1873 with the New Westminster Township Section system which covers the bulk of the municipality and is used to the present day. The cadastral data set originated as hand drawn township-section maps in imperial scales. The lot lines were compiled from historical community maps, registered legal plans surveyed with astronomic bearings and legal descriptions where no surveys exist.

In the late 1970’s the Township's maps were converted to metric scales and all dimension annotation was converted manually to metric. In 1982 parcels BC GAS manually digitized the hand drawn township-section maps and assembled them into a single continuous cadastral fabric encompassing the entire township. The lot line data was rubber sheeted to fit the higher accuracy mapping of neighbouring municipalities, no interior control points were used. In 1983 Langley Township obtains BC GAS Intergraph format lot line data and translated it into Terrasoft format for the Township's GIS.In 1986 the lot lines were converted to parcel polygons linked to BCAA folio numbers and Tempest. In 1987 map annotation was converted to digital. In 1999 the GIS data was converted from Terrasoft to AutoCAD Map format. In 2000 the digital base was again rubber sheeted with a township wide grid pattern of survey monuments used for control. In 2003 lot links were converted from BCAA folio numbers to Township property numbers. In 2004 GIS data is converted from AutoCAD Map format to Munsys Oracle format. In 2005 Langley Township adopts DIGITAL LEGAL SURVEY PLAN STANDARDS and new cadastral is entered directly from high accuracy UTM projected surveys. In 2009 GIS data was converted from Munsys Oracle format to ESRI ArcSDE format.

Select Aggregate Planimetric CAD Vectors from set of 2001-2019 Community Profile AutoCAD files - Initial release version Oct 26, 2023This is an AGOL-hosted Feature Service - hence text point labels only display horizontallySee these related Services (circa Oct 2023):DCRA Community Profile Availability and Map Sheet Outlines with PDF Maps as downloadable attachmentsDCRA Community Profile Aerial Imagery (Community Hi-Res Scale)DCRA Community Profile Aerial Imagery (Community General Area Low-Res Scale)State of Alaska Maxar RGB Satellite ImageryHigh Level Documentation as a PowerPoint Presentation in PDF form

Area of buildings, sheds, and other structures within the City of Lethbridge. Data includes ground and roof elevations.

This data is intended for use in computer-aided design software applications such as AutoCAD and MicroStation.

File Type: DWG Refresh Frequency: Every 2 years Last Update: October 2023

This dataset has been deprecated. Please use our 2017 Countywide Contours instead.These data comprise of one foot contours showing the elevation of Lake County, IL corresponding to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). These data were developed from LIDAR data obtained between April 16, 2007 and May 07, 2007, and further supplemented by break lines collected from aerial photography taken at the same time. The contours and the aerial photography meet National Map Accuracy Standards for a 1 inch = 100 foot product. The contours have been created to be cartographically pleasing, as such some generalization has been introduced as expected. The contours have been tested against the original LIDAR points and conforms to the American Society for Photogrammetry and Remote Sensing (ASPRS) Specifications and Standards Committee, 1990, ASPRS Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy. The vertical datum is the North American Vertical Datum of 1988. The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment. Contour data is used by county agencies to study drainage issues such as flooding and erosion. Customers interested in the actual LiDAR data may download it at no cost from the USGS Center for LiDAR Information Coordination and Knowledge. These files are tiled by PLSS section and grouped by township and format for easier download. Please note that this dataset is available in for GIS in Esri shapefile format as well as for CAD in AutoCAD DWG and MicroStation DGN. We are unable to provide any support for CAD users beyond providing the data.

This CAD (.dwg) package, (last updated January 3, 2024), contains all the layers within the Water Utility network. The City of Langley has compiled all the Water Utility network layers in one AutoCAD (.dwg) file. CAD layers:Air ValvesAuto FlushersBlowoffsHydrantsMainsMains AnnotationOffsetOffset TextPressure Reducing ValvesPressure ZoneResevoirService LinesService TextValvesZone Valves

Discover the booming market for urban planning apps! This in-depth analysis reveals a $76.9 million market in 2025, projected to reach significant growth by 2033, driven by smart city initiatives and technological advancements. Explore market trends, key players (SketchUp, ArcGIS Collector, AutoCAD 360), and regional insights.

Hydrography dataset current as of 1996. Polk County was flown in May 1996. Ayres Associates, Madison, digitized all hydrography features and provided this data as a two-dimensional AutoCAD drawing file. In 2006 Polk County converted the AutoCAD hydrography file into and shapefile creating the h.

The GIS data maintained by HPPM includes information on buildings and grounds related to Harvard University. Our "standard" base layers are available to Harvard affiliates and their service providers (for example, architects) working on Harvard projects in AutoCAD DWG, ESRI SHP or File Geodatabase format. Additional datasets are sometimes available by special arrangement. http://home.hppm.harvard.edu/pages/gis-data-layers

El procedimiento es negociado sin publicidad por razones de exclusividad

Integrieren von Daten aus geografischen Informationssystemen und CAD für GIS und 3D-Kartografie.

Explore the booming urban planning apps market, valued at $76.9M by 2025 and growing at 7.3% CAGR. Discover key drivers, emerging trends, market segmentation, and regional insights for smart city development.

trs displays the smallest unit in the Public Land Survey System; Township/Ranges are subdivided into 36 Sections; each Section is approximately one square mile. The coverage format includes a tr (Township) region subclass.

This layer has been adjusted to Section corner data from the GIS parcel Section AutoCAD drawings. It also includes the half Township South of 12S14E Sections 31-34, designated as 12F14E (field TR).

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Known Errors/Qualifications: The Canoa Land Grant area is not part of the Public Land Survey System. The trs layer includes sections in the Canoa Land Grant area as if it had been included in the survey.

9/2013: While this layer is maintained as a Shapefile, the coverage format is still required for certain nightly processing. See Steve Whitney. Lineage: The TRS layer for Pima County was extracted from a state-wide layer of PLSS Section boundaries as received from ALRIS. The ALRIS layer was tablet digitized from USGS 7.5 minute topographic quadrangle paper maps. In 1992, a database of Section corner locations was acquired from ADOT, and the TRS layer was adjusted to match those ADOT Section corners that were surveyed to an acceptable level. In 2010, the Section boundaries were adjusted to Section corner locations from the GIS parcel AutoCAD drawings. Spatial Domain: Pima County Rectified: parcel Maintenance Format: Shape Primary Source Organization: ALRIS Primary Source Date: 1988 Primary Source Scale: 24000 Primary Source Format: Coverage Secondary Source Organization: Pima County DOT Secondary Source Contact: Steve Whitney Secondary Source Date: 1992 Secondary Source Format: Database GIS Contact: Steve Whitney

MapGuide Layer Name: Section Grid MapGuide Scale Range: 0 - 100000 Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Lorem ipsum dolor sit amet consectetur adipiscing elit. Massa enim nec dui nunc. Quis commodo odio aenean sed adipiscing diam donec adipiscing. Nulla pellentesque dignissim enim sit amet venenatis urna. Sit amet volutpat consequat mauris nunc congue nisi vitae. Fames ac turpis egestas maecenas pharetra convallis posuere morbi leo. Morbi tristique senectus et netus et malesuada fames ac turpis. Eget lorem dolor sed viverra ipsum nunc. Id ornare arcu odio ut sem. Morbi leo urna molestie at elementum eu. In metus vulputate eu scelerisque. Lobortis mattis aliquam faucibus purus in massa tempor nec feugiat. Ut sem viverra aliquet eget sit amet tellus cras adipiscing. Lobortis mattis aliquam faucibus purus in massa tempor. Donec massa sapien faucibus et molestie ac feugiat. Et odio pellentesque diam volutpat commodo sed egestas egestas. Pharetra magna ac placerat vestibulum lectus. Fermentum leo vel orci porta non pulvinar neque laoreet suspendissePurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. Parcel boundaries in GIS are created and maintained by the Assessor’s Division Mapping section and Information Technology Services. There are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.SFAP & CFAP DISCLAIMER: Per the California Code, RTC 606. some legal parcels may have been combined for assessment purposes (CFAP) or separated for assessment purposes (SFAP) into multiple parcels for a variety of tax assessment reasons. SFAP and CFAP parcels are assigned their own APN number and primarily result from a parcel being split by a tax rate area boundary, due to a recorded land use lease, or by request of the property owner. Assessor parcel (APN) maps reflect when parcels have been separated or combined for assessment purposes, and are one legal entity. The goal of the GIS parcel fabric data is to distinguish the SFAP and CFAP parcel configurations from the legal configurations, to convey the legal parcel configurations. This workflow is in progress. Please be advised that while we endeavor to restore SFAP and CFAP parcels back to their legal configurations in the primary parcel fabric layer, SFAP and CFAP parcels may be distributed throughout the dataset. Parcels that have been restored to their legal configurations, do not reflect the SFAP or CFAP parcel configurations that correspond to the current property tax delineations. We intend for parcel reports and parcel data to capture when a parcel has been separated or combined for assessment purposes, however in some cases, information may not be available in GIS for the SFAP/CFAP status of a parcel configuration shown. For help or questions regarding a parcel’s SFAP/CFAP status, or property survey data, please visit Napa County’s Surveying Services or Property Mapping Information. For more information you can visit our website: When a Parcel is Not a Parcel | Napa County, CA

Data last synced 11-21-2025 04:27. Data synced on a Weekly interval.

Discover the booming market for urban planning apps! This in-depth analysis reveals a $76.9M market in 2025, projecting 7.3% CAGR growth to 2033. Explore key drivers, trends, regional breakdowns, and leading companies shaping this dynamic sector. Learn how mobile technology, GIS data, and 3D modeling are transforming urban development.

The urban planning app market is booming, projected to reach [estimated 2033 value] by 2033, growing at a CAGR of 7.3%. This report analyzes market size, trends, key players (SketchUp, ArcGIS, AutoCAD), and regional growth, offering insights for investors and urban planners. Explore the future of urban development with mobile apps.

The Bedrock Geology of New Jersey consists of statewide and countywide data layers (contacts, folds, dikes). The data are provided in two spatial data formats: ESRI's ARC/INFO Geographic Information Systems (GIS) export and Autodesk's AutoCad DXF. The GIS data were scanned and digitized from United States Geological Survey Miscellaneous Investigations and Open-File Series 1:100,000 scale geologic maps compiled from 1984 to 1993.

Electrical conduit is a tube used to protect and route electrical wiring. Electrical Conduit data are copied into GIS from AutoCAD on a weekly basis. AutoCAD drawings are edited as needed by City of Victoria Surveyors and Staff. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through weekly scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

Alaska Railroad centerline data compiled from a GPS survey by Mullikin Surveys in 2005. Data was delivered to MSB GIS by ARR as a series of AutoCAD dwg files that were merged into a single GDB format and then published as shapefile. MSB GIS added a couple of older abandoned centerlines in the Palmer area that are sometimes needed for maps.

The global urban planning apps market, valued at $76.9 million in 2025, is projected to experience robust growth, driven by increasing urbanization, the need for efficient resource management, and the rising adoption of digital technologies in urban planning. A Compound Annual Growth Rate (CAGR) of 7.3% from 2025 to 2033 indicates a substantial market expansion. Key drivers include the increasing availability of high-quality geospatial data, advancements in mobile technology facilitating seamless data access and collaboration, and growing government initiatives promoting smart city development. The market is segmented by application (large enterprises and SMEs) and operating system (iOS and Android). Large enterprises, particularly in developed nations, currently dominate the market due to their higher budgets and greater need for sophisticated planning tools. However, the SME segment exhibits significant growth potential, driven by the increasing affordability and accessibility of user-friendly urban planning apps. The adoption of cloud-based solutions enhances collaboration and data sharing, leading to improved efficiency in urban planning projects. Furthermore, the integration of advanced technologies like AI and machine learning into urban planning apps will propel market growth further, enabling predictive modeling and informed decision-making. Geographic expansion is also a significant factor, with regions like Asia-Pacific exhibiting substantial growth potential due to rapid urbanization and increasing government investments in infrastructure development. The competitive landscape is characterized by a mix of established players like Autodesk (AutoCAD 360) and Esri (ArcGIS Collector), and innovative startups offering niche solutions. The market is witnessing increased innovation in areas such as 3D modeling, visualization, and citizen engagement tools. While challenges remain, such as data security concerns and the need for user training and support, the overall outlook for the urban planning apps market remains highly positive. The integration of these apps with other smart city initiatives, such as transportation management systems and environmental monitoring platforms, will further enhance their value and adoption rate, contributing to the overall sustainable development of urban areas. The increasing demand for effective urban planning solutions, coupled with technological advancements and supportive government policies, ensures a promising future for this market.

The geometry of parcels were created by Carver County's Survey department using COGO in an AutoCad environment. The AutoCad lines have been imported into a ArcGIS Geodatabase and polygons built. These polygons are attributed with a Parcel Identification Number (PID). The GIS polygons are joined by PID to the Assessor's CAMA system and Taxpayer Services tax database to show attributes of the property.