Discover the explosive growth of the Geospatial Data Analytics market, projected to reach [estimated 2033 market size] by 2033 with a CAGR of 12.81%. This comprehensive analysis explores key drivers, trends, and market segmentation, featuring leading companies like ESRI and Hexagon. Learn about regional market shares and future opportunities in this lucrative sector. Recent developments include: June 2023: Intermap Technologies leveraged its high-resolution elevation data access to perform imagery correction services for a national government organization to support the development projects in El Salvador and Honduras in Central America. In partnership with GeoSolutions, Intermap enables the creation of precision maps that are invaluable resources in supporting community safety and resiliency., March 2023: Mach9, the company building the fastest technologies for geospatial production, introduced its first product. The new product leverages computer vision and AI to produce faster 2D and 3D CAD and GIS engineering deliverables. This product launch comes amidst Mach9's pivot to a software-first business model, which is a move that is primarily driven by the rising demand for tools that accelerate geospatial data processing and analysis for infrastructure management.. Key drivers for this market are: Increase in Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Potential restraints include: Increase in Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Notable trends are: Defense and Intelligence to be the Largest End-user Industry.

Run main.m in Matlab to produce matching resultsdata_BJ and data_HK are two datasets for testing the geospatial data matching methods.The objects are represented by their centroids and corresponding vertices.

The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.

Bolton & Menk, an engineering planning and consulting firm from the Midwestern United States has released a series of illustrated children’s books as a way of helping young people discover several different professions that typically do not get as much attention as other more traditional ones do.Topics of the award winning book series include landscape architecture, civil engineering, water resource engineering, urban planning and now Geographic Information Systems (GIS). The books are available free online in digital format, and easily accessed via a laptop, smart phone or tablet.The book Lindsey the GIS Specialist – A GIS Mapping Story Tyler Danielson, covers some the basics of what geographic information is and the type of work that a GIS Specialist does. It explains what the acronym GIS means, the different types of geospatial data, how we collect data, and what some of the maps a GIS Specialist creates would be used for.Click here to check out the GIS Specialist – A GIS Mapping Story e-book

Question Paper Solutions of chapter Spatial Data Analysis of GIS & Remote Sensing, 8th Semester , Civil Engineering

Microsoft T-Drive dataset

Explore the dynamic Mapping Software market, driven by engineering and industrial design needs. Discover growth drivers, key trends, restraints, and leading companies shaping the future of geospatial solutions from 2019-2033.

Excel spreadsheet which only contains numeric data from a set of confusion matrices (one sheet per matrix).It is the same quantitative data stored in a field of a table in the database. Only is provided as a complement to the database in order to access to the quantitative data in a more convenient format.

The U.S. Geological Survey (USGS), in cooperation with the city of Harrisonville, Missouri, assessed flooding of Muddy Creek resulting from varying precipitation magnitudes and durations, antecedent soil moisture conditions, and channel conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.8-mile reach of Muddy Creek and tributaries within and adjacent to the city. Hydrologic and hydraulic models of the upper Muddy Creek Basin were used to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS; version 4.4.1) was used to simulate the amount of streamflow produced from a range of rainfall events. The Hydrologic Engineering Center-River Analysis System (HEC–RAS; version 5.0.7) was then used to route streamflows and map resulting areas of flood inundation. The ...

This site is set up for agency transparency for allowing the public and other agencies access to downloadable data from the New Mexico Office of the State Engineer.

This dataset accompanies the article "Enter the Pragmatic Engineer: Ling Hongxun at Jiaotong University, 1920–1927" by Thorben Pelzer published in History of Education. The dataset includes replication data and supplemental geospatial data used in the research. Replication Data: The replication data consists of an R script that replicates the statistical analyses presented in the journal article. These analyses were conducted using data from the Chinese Engineers Relational Database (CERD). Researchers can utilize this script to reproduce the statistical results and verify the findings reported in the article. Supplemental Geospatial Data: Additionally, this dataset includes geospatial data used for creating one of the figures illustrating the 1926 campus of Nanyang University in Shanghai. Researchers interested in further exploring the geographical context of the study or replicating the visualization presented in the article can utilize these geospatial data files.

The global Geographic Information System (GIS) solutions market size was valued at USD XX million in 2025 and is projected to expand at a CAGR of XX % over the forecast period, reaching USD XXX million by 2033. The growing adoption of GIS solutions across various industries, such as agriculture, oil & gas, architecture, engineering and construction, transportation, mining, government, healthcare, and others, is driving market growth. The increasing need for accurate and timely geospatial data for decision-making, along with the advancements in cloud computing, artificial intelligence (AI), and machine learning (ML), are key trends contributing to market expansion. However, data security concerns and the high cost of implementation and maintenance may restrain market growth to some extent. Key players in the GIS solutions market include ESRI, Hexagon, Pitney Bowes, SuperMap, Bentley System, GE, GeoStar, Zondy Cyber Group, Caliper, Hitachi Solutions, and KCI. North America holds a significant share of the market due to the early adoption of GIS solutions and the presence of major players. Asia Pacific is expected to witness substantial growth over the forecast period owing to the increasing infrastructure development and urbanization in the region.

MyGeoHub is a science gateway for researchers working with geospatial data. Based on the HUBzero cyberinfrastructure framework, it provides general-purpose software modules enabling geospatial data management, processing and visualization. Termed “GABBs” (Geospatial Data Analysis Building Blocks), these modules can be leveraged to build geospatial data driven tools with minimal programming and construct dynamic workflows chaining both local and remote tools and data sources. We will present examples of such end-to-end workflows demonstrating the underlying software building blocks that have also found use beyond the MyGeoHub gateway in other science domains.

Discover the booming UK Geospatial Analytics market! Our in-depth analysis reveals a £100 million (2025 est.) market with a robust 11.26% CAGR, driven by smart city initiatives, precision agriculture, and technological advancements. Explore market trends, key players (Hexagon, Trimble, ESRI), and future projections for this dynamic sector. Recent developments include: April 2023: EDF used Esri UK corporate GIS to build a geospatial site for the Hinkley Point C nuclear power station, one of Europe's most extensive and complicated building projects. The portal provides a single picture of the entire project. They are facilitating greater cooperation and enabling new digital workflows, Assisting employees and contractors in improving safety and productivity. When the building of the nuclear reactors began, the portal has recently been expanded to include Tier-1 contractors, and it presently has over 1,500 users., April 2021: Esri UK launched a new cooperation with Tetra Tech, a worldwide consulting and engineering services company, to enhance indoor mapping capabilities by combining their expertise. Esri UK was to contribute to the partnership's robust GIS system, which had multiple indoor mapping capabilities, such as interactive floor plans and indoor location capabilities. Tetra Tech was to add 3D terrestrial laser scanning, data analytics, and CAD capabilities to GIS. They were to collaborate to provide customers with an end-to-end interior mapping solution to capitalize on an expanding need for indoor mapping for facilities management at central workplaces, campuses, or hospitals.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Location data will hold the significant share.

LANDISVIEW is a tool, developed at the Knowledge Engineering Laboratory at Texas A&M University, to visualize and animate 8-bit/16-bit ERDAS GIS format (e.g., LANDIS and LANDIS-II output maps). It can also convert 8-bit/16-bit ERDAS GIS format into ASCII and batch files. LANDISVIEW provides two major functions: 1) File Viewer: Files can be viewed sequentially and an output can be generated as a movie file or as an image file. 2) File converter: It will convert the loaded files for compatibility with 3rd party software, such as Fragstats, a widely used spatial analysis tool. Some available features of LANDISVIEW include: 1) Display cell coordinates and values. 2) Apply user-defined color palette to visualize files. 3) Save maps as pictures and animations as video files (*.avi). 4) Convert ERDAS files into ASCII grids for compatibility with Fragstats. (Source: http://kelab.tamu.edu/)

Address data created and maintained annually by Town of Blacksburg Engineering & GIS in August 2019. This data is being preserved and distributed by Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to the Town of Blacksburg Engineering & GIS group.

This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15° W - 157.07° W, 71.15° N - 71.41° N) and the Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitialGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats.

Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format).

The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest.

Data are available either via FTP or on CD-ROM.

We provide the entire dataset of the paper "Dataset of seismic ambient vibrations from the Quaternary Norcia basin (central Italy)" submitted to "Data in Brief" journal, including geophysical and geospatial data.

The dataset was used and analysed in the article:

Di Giulio, G., Ercoli, M., Vassallo, M., Porreca, M. (2020). Investigation of the Norcia basin (Central Italy) through ambient vibration measurements and geological surveys, Engineering Geology, 267, 105501, https://doi.org/10.1016/j.enggeo.2020.105501

The geophysical dataset was collected in the Norcia basin in Central Italy, area struck by a long earthquake sequence during the 2016-2017, including five main-shocks with Mw>5.0.

The Mw 6.5 mainshock occurred on 30 October 2016 close to the town of Norcia. Different degrees of damages were observed during this seismic crisis, with a variable seismic shaking controlled, among many factors, by important 1D and 2D variation of Quaternary fluvio-lacustrine sediments infilling the basin.

Following this seismic sequence, we registered seismic vibration measurements, mainly single-seismic station noise data. We aimed to determine the distribution of resonant frequency (f0) of the basin and, though a join analysis with the available geological information, to infer the subsurface basin architecture.

A total of 60 sites were measured to cover the entire extension in the basin. We deployed seismometers along three transects of a total length of 21 km, mostly along the main structural directions of the basin (i.e. NNW-SSE and NE-SW).

Two 2D arrays of seismic stations with a elicoidal-shaped geometry, and a set of MASW active data were also acquired in the northern sector of the basin, in order to better constrain the seismic velocity of the sedimentary infilling.

In comparison to the data used in the paper Di Giulio et al. (2020), seven additional records have been here recovered across the basin (i.e. N54-N60).

We also provide geospatial ancillary data, both as a complete open-source Geographical Information Systems (GIS) project and as a set of single GeoPackage (.gpkg) and Keyhole Markup Language (.kml) files.

The dataset can be used for different purposes: specific researches on the Norcia basin, comparative studies on similar areas around the world, development of new data modeling/analysis software.

Address data created and maintained annually by Town of Blacksburg Engineering & GIS in August 2018. This data is being preserved and distributed by Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to the Town of Blacksburg Engineering & GIS group.

Town of Blacksburg, Virginia August 2019 map. Displays a polygon layer depicting future land use plans. This data is being preserved and distributed by Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to the Town of Blacksburg Engineering & GIS group.