FOR PLAT MAPS AND OTHER LAND DOCUMENTS, PLEASE VISIT THE COUNTY CLERK’S OFFICIAL RECORDS SEARCH: HTTPS://BEXAR.TX.PUBLICSEARCH.US.The Bexar County GIS Team does not have purview over plat maps and other land records. Please visit the Bexar County Clerk’s Official Records Search.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Indonesia over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
description: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .; abstract: The TRSQ digital data set represents the Township, Range, Section, Quarter section, and Quarter-quarter section divisions of the state. Beginning in the late 1840s, the federal government began surveying Minnesota as part of the Public Land Survey System (PLSS). The resulting network of land survey lines divided the state into townships, ranges, sections, quarter sections, quarter-quarter sections and government lots, and laid the groundwork for contemporary land ownership patterns. The quarter-quarter section remains an important subdivision for rural Minnesota since these lines are used to define local boundaries, roads, and service areas. All survey lines were extended across water bodies despite the fact that U.S. Geological Survey (USGS) base maps depict them only on land. This addition allows all sections and townships to be represented as closed areas ensuring that township and range location can be determined for any point in the state. It also means that the data is not affected if lake levels change over time. The township, range and section boundaries were digitized at MnGeo (formerly the Land Management Information Center - LMIC) from the USGS 30' x 60' map series (1:100,000-scale). Quarter section and quarter-quarter section subdivisions were calculated using the section lines. They were not digitized from original plat book survey lines or from the meandered lines that surveyors laid out around water bodies. The existence of government lots within a quarter-quarter section is recorded in the data set; however, the government lot boundaries were not digitized. If a quarter-quarter section contains more than one government lot, the number of lots is recorded -- see Lineage, Section 2, for more detail. Note: For most uses, TRSQ has been superseded by the Minnesota Department of Natural Resources (DNR) 1:24,000-scale 'Control Point Generated PLS' data set which is free online. See https://gisdata.mn.gov/dataset/plan-mndnr-public-land-survey for more information. Also, many county surveyors offices have more accurate PLS (Public Land Survey) data sets. For county webpages and contact information, see http://www.mngeo.state.mn.us/cty_contacts.html .
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Colombia over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Australia over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Taiwan over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
GIS Map view look up parcel information including owner, taxes, market value and more.Important Mailing Label Information:The "Mailing Labels" button is is copy of the Parcels Layer and is intended to be turned OFF on the map, and is there just for the "Public Notification" Widget. This widget obtains information on the pop-up of a selected layer to create "Mailing Labels." This said, this layer contains the Owners Mailing Address information. Below is Arcaded used to customize the pop-up:Made three custom Arcade Lines below: Proper($feature["OWNER_NAM1"]) + Proper($feature["OWNER_NAM2"])Proper($feature["OWNER_ADDR"])Proper($feature["OWNER_CITY"]) + ',' + $feature["OWNER_STAT"] + ',' + $feature["OWNER_ZIP"]Below is the custom pop-up:{expression/expr0}{expression/expr1}{expression/expr2}
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Italy over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
These parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Tax parcel boundaries have not been edge-matched across municipal boundaries.
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Access indexes to adjust capital cost of industrial plants in France over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in South Africa over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
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Access indexes to adjust capital cost of industrial plants in Poland over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Spain over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Russia over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
https://intratec.us/docs/legal/index.pdfhttps://intratec.us/docs/legal/index.pdf
Access indexes to adjust capital cost of industrial plants in Philippines over time, covering historical series and short-term forecasts. Delivered via Excel Add-in, Power BI, API, and online charts. Free sample available.
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FOR PLAT MAPS AND OTHER LAND DOCUMENTS, PLEASE VISIT THE COUNTY CLERK’S OFFICIAL RECORDS SEARCH: HTTPS://BEXAR.TX.PUBLICSEARCH.US.The Bexar County GIS Team does not have purview over plat maps and other land records. Please visit the Bexar County Clerk’s Official Records Search.