Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Public Land Survey SystemThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Land Management data, displays the Public Land Survey System (PLSS) in the United States. Per BLM, "The BLM is required to perform cadastral surveys on all federal interest and Indian lands. As part of survey work, the BLM maintains an essential land grid, known as the rectangular survey system or Public Land Survey System (PLSS), which is the basis for identifying legal descriptions of land parcels."PLSS Township 7N 22EData downloaded: October 17, 2023Data source: BLM National Public Land Survey System PolygonsNGDAID: 10 (BLM National PLSS Public Land Survey System Polygons)OGC API Features Link: (Public_Land_Survey_System - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: About the Public Land Survey SystemSupport documentation: BLM National PLSS Public Land Survey System PolygonsFor feedback please contact: ArcGIScomNationalMaps@esri.comNGDA Data SetThis data set is part of the NGDA Cadastre Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cadastre is defined as the "past, current, and future rights and interests in real property including the spatial information necessary to describe geographic extents. Rights and interests are benefits or enjoyment in real property that can be conveyed, transferred, or otherwise allocated to another for economic remuneration. Rights and interests are recorded in land record documents. The spatial information necessary to describe geographic extents includes surveys and legal description frameworks such as the Public Land Survey System, as well as parcel-by-parcel surveys and descriptions. Does not include federal government or military facilities."For other NGDA Content: Esri Federal Datasets
https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/
The Land Grid Array (LGA) Socket report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.
An area defined by the Public Lands Survey System grid that is referenced by its tier and range numbers, and is normally a rectangle approximately 6 miles on a side with boundaries conforming to meridians and parallels. Metadata
https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy
Explore the growth potential of Market Research Intellect's Land Grid Array (LGA) Socket Market Report, valued at USD 1.2 billion in 2024, with a forecasted market size of USD 2.1 billion by 2033, growing at a CAGR of 7.5% from 2026 to 2033.
https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/
Land Grid Array (LGA) Packaging comes with extensive industry analysis of development components, patterns, flows, and sizes. The report calculates present and past market values to forecast potential market management during the forecast period between 2024 - 2032.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These data provide land cover classifications derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The data are available in various EASE-Grid 2.0 azimuthal and global projections, in multiple spatial resolutions ranging from 3 km to 100 km. The data are in flat binary, 1 byte files that are stored by row.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The land division system used for describing the extent of oil and gas interests located in the Northwest Territories, Nunavut or in Canada's offshore area is defined in the Canada Oil and Gas Land Regulations. This land division system consists of a grid system divided into Grid Areas, Sections, and Units – all referenced to the North American Datum of 1927 (NAD27). This data provides the geo-spatial representation of the NAD27 Oil and Gas Grid Areas referenced to NAD83 Datum. The creation of the Oil and Gas Grid Areas geo-spatial file covers areas that are situated in the Northwest Territories, Nunavut or Sable Island as well as submarine areas, not within a province, in the internal waters of Canada, the territorial sea of Canada or the continental shelf of Canada beyond 200 nm zone. The NAD83 grid area boundaries are defined by geodesics joining the four grid area corners. For sections and units, the eastern and western grid area geodesic boundaries are partitioned into 40 equal segments. The northern and southern grid area geodesic boundaries are partitioned into 40, 32 or 24 equal segments, depending on latitude. All internal corners at the section and unit level are defined by the intersections of north-south and east-west geodesics joining corresponding partition points along the northern and southern, and eastern and western, grid area geodesic boundaries.
https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy
In Global Land Grid Array Package On Package (LGA PoP) Market, It combines two packages into one, which reduces the overall size of the product.
A global data set of land distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point.
These Land-Ocean-Coastline-Ice (LOCI) files provide land classification masks derived from the Boston University MOD12Q1 V004 MODIS/Terra 1 km Land Cover Product (Friedl et al. 2002). The masks are available in various EASE-Grid azimuthal and global projections, at 12.5 km and 25 km spatial resolutions. The masks are in flat binary, 1 byte files stored by row. Quick-look browse images of the masks are also available in PNG (.png) format.
SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products:
SMAP L4 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP) SMAP L4 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU) SMAP L4 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM)
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that isgridded using an Earth-fixed, global, cylindrical 9 km Equal-Area ScalableEarth Grid, Version 2.0 (EASE-Grid 2.0) projection.
description: Index Grids dataset current as of 2010. Property Map Index for Tax Maps. 1"=600' grid and larger scale insert grids for selected counties..; abstract: Index Grids dataset current as of 2010. Property Map Index for Tax Maps. 1"=600' grid and larger scale insert grids for selected counties..
The shapefile in this data release is the updated Central Valley Hydrologic Model (CVHM2) model grid cells with yearly land use from 1921 to 2019. Historical land use data shows the Central Valley land use prior to agricultural development. The rise of agriculture in the Central Valley is visible over time in this data set. Existing land use maps covering the Central Valley were used as sources and were assigned to model grids cells for their observed land use year. This source data was used to estimate land use over time for years where no land use map was available. This was accomplished by comparing land use cells between two years where source data is available. Cells where there is no land use change remain the same and are assigned that land use over the years with missing data. Where land use change occurs, cells are assigned the land use in the newer map based on the area of the new land use and the number of years with missing data.
Parcels and Land Ownership dataset current as of 2008. Plat Page Grid.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global market size of the Land Grid Array (LGA) socket was valued at approximately USD 3.5 billion in 2023 and is expected to reach around USD 7.2 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 8.3% from 2024 to 2032. Several factors drive this impressive growth, including the increasing demand for advanced consumer electronics, significant advancements in automotive technologies, and the rapid expansion of telecommunications infrastructure.
One of the primary growth factors for the LGA socket market is the burgeoning consumer electronics industry. The proliferation of smartphones, tablets, and other portable devices necessitates the development of more efficient and compact semiconductor packaging solutions. LGA sockets, known for their high-density pin arrangements and superior electrical performance, are becoming increasingly essential in this sector. Furthermore, the rise of wearable technology and the Internet of Things (IoT) is expected to create new opportunities for LGA sockets, further driving market growth.
Another significant growth factor is the automotive industry's shift towards electric and autonomous vehicles. These advanced vehicles require highly reliable and efficient electronic systems for various functions such as navigation, entertainment, and safety. The integration of LGA sockets in automotive electronics ensures robust performance and reliability, which is crucial for such critical applications. Additionally, the increasing focus on advanced driver-assistance systems (ADAS) and vehicle-to-everything (V2X) communication technologies is expected to boost the demand for LGA sockets in the automotive sector.
The industrial sector also plays a vital role in the growth of the LGA socket market. Industries are increasingly adopting automation and advanced control systems to enhance efficiency and reduce operational costs. The deployment of sophisticated machinery and equipment necessitates the use of reliable and high-performance semiconductor components, including LGA sockets. Furthermore, the ongoing trend of Industry 4.0, which emphasizes the integration of digital technologies in manufacturing processes, is likely to propel the demand for LGA sockets in industrial applications.
From a regional perspective, the Asia Pacific region is expected to witness the highest growth in the LGA socket market. This can be attributed to the presence of major consumer electronics manufacturers, the rapid development of telecommunications infrastructure, and the increasing adoption of advanced automotive technologies. North America and Europe are also expected to experience significant growth, driven by the high demand for advanced electronic systems in automotive and industrial applications. Meanwhile, Latin America and the Middle East & Africa regions are anticipated to show moderate growth due to the gradual adoption of advanced technologies in these regions.
The LGA socket market is segmented by type, including LGA 1151, LGA 1200, LGA 2066, LGA 1700, and others. LGA 1151 sockets are widely used in a variety of applications, particularly in consumer electronics and desktop computing. These sockets are favored for their high pin density and reliable performance, making them suitable for high-performance processors. The demand for LGA 1151 sockets is expected to remain steady, driven by the continuous need for powerful and efficient computing solutions in both personal and professional settings.
LGA 1200 sockets are relatively new but have quickly gained traction due to their compatibility with the latest generation of Intel processors. These sockets are designed to support advanced features such as faster data transfer rates and enhanced thermal management. The increased adoption of LGA 1200 sockets in high-performance computing and gaming applications is expected to drive significant growth in this segment. Additionally, the ongoing trend of upgrading computing systems for better performance and efficiency is likely to boost the demand for LGA 1200 sockets.
The LGA 2066 socket segment caters to high-end computing applications, including servers, workstations, and enthusiast-grade desktop systems. These sockets are designed to support multiple-core processors and large memory capacities, making them ideal for demanding computational tasks. The growing need for powerful computing solutions in data centers, cloud computing, and scientific research is expected to drive the demand for LGA 2066 sockets. Furthermore, the increasing
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
For spatial analyses, raster land cover/use maps are converted into points, where each point holds attribute of its corresponding land cover/use. However, these are not identical in terms of areas or shapes; thus assigning a point to each isolated shape is not an adequate solution and for that gridding is suggested. Square, hexagon and triangle are among the basic land use gridding systems where each of them has its own advantages in such process. This research aims to compare the systems in providing accurate representations of the original land cover/use maps, assess the data loss while increasing resolution and suggest suitable gridding system. The research finds the errors in area and feature numbers as criteria for selected classes. Modules that find out errors in each scale considering each criterion and class alone are proposed. The modules suggest both the best system for each criterion alone and for combined criteria.
The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Land and Geographic Unit Area Grids measure land areas in square kilometers and the mean Unit size (population-weighted) in square kilometers. The land area grid permits the summation of areas (net of permanent ice and water) at the same resolution as the population density, count, and urban-rural grids. The mean Unit size grids provide a quantitative surface that indicates the size of the input Unit(s) from which population count and density grids are derived. Additional global grids are created from the 30 arc-second grid at 1/4, 1/2, and 1 degree resolutions. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Name of datasets, description, resolution, and number of ensemble members (ens) included. For GCMs included in CMIP6 the number of grid cells for lon/lat is listed due to how the grid is set up in some models, making them difficult to compare. (XLSX)
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Global time-series maps of the fraction of urban land to all land area at 1-km spatial resolution, including the base year (2000), projections (2010-2100) consistent with the Shared Socioeconomic Pathways (SSPs), and two ancillary layers: (i) total land area, and (ii) the fraction of land available for development to all land area. Downloadable in two data formats: GeoTIFF, and NetCDF. Data Unit: dimensionless for urban and available land fractions; km2 for total land areas. Cite as... Gao, J., & Pesaresi, M. (2021). Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000-2100. Scientific Data. DOI: 10.1038/s41597-021-01052-0 This dataset is also available at NASA Socioeconomic Data and Applications Center (SEDAC) DOI: 10.7927/1z4r-ez63
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Public Land Survey SystemThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Land Management data, displays the Public Land Survey System (PLSS) in the United States. Per BLM, "The BLM is required to perform cadastral surveys on all federal interest and Indian lands. As part of survey work, the BLM maintains an essential land grid, known as the rectangular survey system or Public Land Survey System (PLSS), which is the basis for identifying legal descriptions of land parcels."PLSS Township 7N 22EData downloaded: October 17, 2023Data source: BLM National Public Land Survey System PolygonsNGDAID: 10 (BLM National PLSS Public Land Survey System Polygons)OGC API Features Link: (Public_Land_Survey_System - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: About the Public Land Survey SystemSupport documentation: BLM National PLSS Public Land Survey System PolygonsFor feedback please contact: ArcGIScomNationalMaps@esri.comNGDA Data SetThis data set is part of the NGDA Cadastre Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cadastre is defined as the "past, current, and future rights and interests in real property including the spatial information necessary to describe geographic extents. Rights and interests are benefits or enjoyment in real property that can be conveyed, transferred, or otherwise allocated to another for economic remuneration. Rights and interests are recorded in land record documents. The spatial information necessary to describe geographic extents includes surveys and legal description frameworks such as the Public Land Survey System, as well as parcel-by-parcel surveys and descriptions. Does not include federal government or military facilities."For other NGDA Content: Esri Federal Datasets