Spain's Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geo Visualization), by End User Vertical ( Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of USD Value for all the Above Segments.

The Spanish Cultural Sites & Facilities dataset provides geospatial and descriptive information about cultural facilities across Spain, including theaters, museums, libraries, cultural centers, and other cultural venues. The dataset consists of 24,577 records and 28 attributes, capturing key details about each facility, such as its name, classification, location, contact information, and associated institutions.

This dataset is valuable for spatial analysis, urban planning, cultural heritage management, and public policy research. It enables researchers, policymakers, and cultural organizations to analyze the distribution, accessibility, and characteristics of cultural facilities across Spain.

The dataset is stored in GeoPackage (.gpkg) format, ensuring efficient geospatial data storage and compatibility with GIS software such as QGIS, ArcGIS, and other geospatial tools.

This dataset has been developed by Econcult, the Research Group on Cultural Economics at the University of Valencia, through the collection, cleaning, and processing of data from multiple sources of information.

The central research question is: “In what socio-economic contexts linked to energy vulnerability collective action initiatives (CAIs) are distributed at the sub-regional level, and does this vary by type and scale of energy infrastructure?”. The study pursues three objectives: (1) allocate and map CAIs from knowledge inventories and local energy infrastructure configurations; (2) conduct evidence-based spatial analysis connecting socio-economic and energy vulnerability-related indicators with CAIs’ local energy configurations in Spain (3) apply parallel statistical normalization and standardization methods to compare and interpret energy vulnerability context across mapped units of Spanish municipalities.

The data represent mined, mapped and cleaned tabular data focusing on 8,131 municipalities across 52 provinces within Spain's 17 Autonomous Communities, used for aggregated spatial analysis. All_Spain_merged_table.csv contains: - socio-economic indicators referred to energy vulnerability as energy justice analytical application [Atlas de distribución de renta de los hogares 2021; Population and Housing Census 2021; Atlas de la edificación residencial2011]; - allocated Collective Action Initiatives (CAIs) from ENBP All-European Inventory database [https://doi.org/10.18710/2CPQHQ]; and - municipal electricity energy generation mix, that has been processed from the Spanish public administrative register of electric power production facilities of Spain https://energia.serviciosmin.gob.es/Pretor/.

Simplified_categories_of REGISTER_by_Real Decreto 413_2014.xls: - categories explained used to codify exported data from the administrative register of electric power production facilities.

CAIs_and_Indicators_Correlation_Table.html: - bivariate correlation analysis matrix of collected indicators for CAIs subsample.

Note: the 60M indicator’s (share of population below 60% of median income) limited data coverage (available for 49% of all municipalities and 77% of those with CAIs) restricted further analysis and was excluded from further mapping of categorized energy vulnerability based on SVI. Data availability for economic indicators varied, ranging from 82% (Gini index, mean income per household) to 99% (mean income per person); thus, missing values were estimated using linear regression (starting from version 3) to ensure a more complete dataset for analysis. Earlier versions of the CAIs_Sample.csv file contained discrepancies: missing economic indicator values (Gini and income) were incorrectly set to zero instead of treated as missing, and PV indicators showed shifted values across municipalities compared to the reference dataset. In version 4, missing values for all indicators were properly estimated using linear regression. The full-country sample file remained the reference throughout all versions. These issues have now been corrected, with limited indicators adjusted as described above.

Leverage advanced location data from high-quality geospatial data covering patterns, behaviours, and trends across diverse industries. With accurate insights from multiple sources, our solutions empower businesses in retail, logistics, real estate, finance, and urban planning to optimize operations, enhance decision-making, and drive strategic growth.

Key use cases where Location Data has helped businesses : 1. Optimize Logistics & Route Planning : Streamline delivery routes, reduce transit times, and enhance operational efficiency with precise location intelligence. 2. Enhance Market Positioning & Competitor Insights : Identify high-traffic zones, analyse competitor locations, and fine-tune business strategies to maximize market presence. 3. Transform Navigation & EV Infrastructure : Power navigation systems, real-time travel recommendations, and EV charging station mapping for seamless location-based services. 4. Enhance Urban & Retail Site Selection : Identify optimal locations for stores, warehouses, and infrastructure investments with in-depth spatial data and demographic insights. 5. Strengthen Spatial Analysis & Risk Management : Leverage advanced geospatial insights for disaster preparedness, public health initiatives, and land-use optimization.

Download high-quality, up-to-date Spain shapefile boundaries (SHP, projection system SRID 4326). Our Spain Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

The Spanish geospatial analytics market is estimated to be valued at $0.48 million in 2025, and is projected to grow at a CAGR of 9.03% from 2025 to 2033. The growth of the market is primarily driven by the increasing adoption of geospatial solutions for decision-making processes across various industries and government organizations. The growing need for accurate and timely information for effective planning, operations, and resource management is further fueling the demand for advanced geospatial analysis capabilities. Key trends in the Spanish geospatial analytics market include the integration of artificial intelligence (AI) and machine learning (ML) for advanced data analysis, the adoption of cloud-based geospatial platforms for seamless data sharing and access, and the proliferation of open data initiatives. The increasing availability of high-quality data from sources like satellite imagery, aerial surveys, and IoT sensors is providing opportunities for developing more comprehensive and data-driven insights. However, data privacy concerns and the need for skilled professionals with expertise in geospatial technologies represent notable restraints in the market. Recent developments include: November 2023 - Hexagon’s Manufacturing Intelligence branch unveiled Nexus Connected Worker, a collection of manufacturing software solutions that links employees to up-to-the-minute data for informed insights and reporting on operations, maintenance, quality, and audits. The suite offers strong integration with enterprise systems and serves as a hub for digital depictions of assets, processes, and production sites to aid in real-time decision-making.. Key drivers for this market are: Increase in Adoption of Smart City Development and Urban Planning, Introduction of 5G to Boost Market Growth. Potential restraints include: High Costs and Operational Concerns Associated with Geospatial Analytics. Notable trends are: Increase in Adoption of Smart City Development and Urban Planning.

PaleoRiada is the first national geographic database that compiles data on palaeoflood records published in scientific journals, book chapters, conference presentations, and publicly accessible scientific-technical reports. This database has been implemented through a Database Management System (Microsoft Access).

Funding:

Grants 2022-2023 and 2023-2026, signed between the Spanish General Directorate for Water (DGA-MITERD) and the Spanish Research Council (CSIC-MCIU), which include actions 20223TE003 and 20233TE012 (Tarquín project in IGME-CSIC).

Community of Madrid (Predoctoral research grant PIPF-2022/ECO-24879)

The Spain Geospatial Imagery Analytics Market report segments the industry into By Type (Imagery Analytics, Video Analytics), By Deployment Mode (On Premise, Cloud), By Organization Size (SMEs, Large Enterprises), By Verticals (Insurance, Agriculture, Defense and Security, Environmental Monitoring, Engineeting & Construction, Government, Others). Get five years of historical data alongside five-year market forecasts.

Our Spain Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and country scaled POI data featuring over 3.2 million verified locations across Spain. We have been providing this data to companies worldwide for 30 years.

• Develop mapping and navigation tools and software.
• Identify new areas and locations suitable for business development.
• Analyze the presence of competitors and nearby populations.
• Optimize routes to enhance delivery efficiency.
• Evaluate property values based on nearby infrastructure.
• Support disaster management by identifying high-risk areas.
• Promote your products and services using geotargeting strategies.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

Road-kills are the greatest source of direct human-induced wildlife mortality, especially in amphibians. Country roads could act as the most important source of mortality when main roads act as strong barriers hampering the migration movements of some species. Mortality patterns of amphibians on country roads (1380 km) were studied in Salamanca (Spain) in order to quantify the mortality levels, to test the effects of sex and age factors on road-kills, to determine the spatial distribution patterns of road-kills, and to identify routes of migration through a friction map and hotspots of road-kills. From a total of 819 records of amphibians, 38.1% were road-killed and 61.9% were live. Fourteen amphibian species were recorded during the surveys (10 anurans and four urodeles). The species more affected by road-kills were the anurans Bufo calamita, Pelobates cultripes and B. bufo (38.5, 23.4 and 11.9%, respectively). Females had higher incidence of road-kills than males, due to the differential activity patterns of both sexes during the reproductive period. Adults were the most common age period and also the most road-killed. The spatial distribution patterns of live and road-killed records were clustered. On the sampled roads, there were 0.23 road-kills per kilometre and 52 hotspots of road-kills. The friction map showed that most of the road-killed and live specimens were located on migration routes crossing suitable habitats. Conservation measures should be implemented in these areas, as these mortality patterns may be causing significant negative impacts at the population level. Palabras clave: Amphibian, Mortality

Dataset

This dataset was created by Jose D Bermudez

Contents

Catalogue Web Service OGC:CSW 2.0.2 ISO AP with INSPIRE extention that contains and allows to consult the records of metadata of the datasets and services of the Spatial Data Infrastructure of the Barcelona Provincial Council (IDEBarcelona)

Spain Geospatial Analytics Market size was valued at USD 1.83 Billion in 2024 and is projected to reach USD 4.43 Billion by 2032 growing at a CAGR of 9.57% from 2026 to 2032. The Spain Geospatial Analytics market is driven by increasing government investments in smart city projects and infrastructure modernization. These initiatives demand advanced spatial data analysis for urban planning, transportation, and environmental monitoring, boosting adoption of geospatial technologies. Additionally, the rise of location-based services across sectors like agriculture, logistics, and defense is fueling market growth. Integration of AI and big data with GIS tools further enhances decision-making capabilities, accelerating demand in both public and private sectors.

This dataset supports the findings of the article "Spatial shift-share analysis: Some new developments", published in Papers in Regional Science , 100(2), 305–325. https://doi.org/10.1111/pirs.12575.

It includes the changes in the agricultural gross value added at the NUTS 3 levels regions in Spain during the period 2013-2017 , enabling reproducibility and further analysis of the study's conclusions.

The Spain Geospatial Imagery Analytics Market is experiencing robust growth, projected to reach a significant size within the forecast period (2025-2033). Driven by increasing adoption of advanced technologies like AI and machine learning in various sectors, the market is witnessing a Compound Annual Growth Rate (CAGR) of 23%. This growth is fueled by the increasing need for precise and timely geospatial data across diverse verticals. Key sectors such as agriculture, insurance, defense and security, and environmental monitoring are adopting geospatial imagery analytics for improved efficiency and informed decision-making. The market is segmented by type (imagery and video analytics), deployment mode (on-premise and cloud), organization size (SMEs and large enterprises), and vertical. The cloud deployment model is gaining traction due to its scalability and cost-effectiveness. Large enterprises are leading the adoption, but SMEs are increasingly recognizing the value proposition of geospatial analytics, further driving market expansion. While data limitations prevent precise Spain-specific figures, the overall market trends and CAGR strongly suggest substantial growth potential in the Spanish market, mirroring global trends. The competitive landscape features both established tech giants like Google, Microsoft, and Oracle, and specialized geospatial analytics companies such as Hexagon AB, ESRI, and Trimble. The presence of these players ensures a dynamic market with continuous innovation and competitive pricing. The market's future trajectory hinges on continued technological advancements, government support for digital transformation initiatives within various sectors, and the increasing availability of high-resolution satellite and aerial imagery. Challenges include data privacy concerns, the need for skilled professionals, and ensuring data interoperability. Despite these challenges, the Spain Geospatial Imagery Analytics Market is poised for considerable expansion throughout the forecast period, providing significant opportunities for both established players and emerging market entrants. Recent developments include: July 2023: Databricks is the provider of a big data tool named Databricks Lakehouse Platform, which merges data science, data engineering, machine learning, and analytics within a single platform. To provide even more valuable insights to data scientists, spatial analytics is often added to the mix to put large amounts of data in the proper context. A new partnership with Esri brings advanced spatial analytics capabilities in Esri’s ArcGIS software to the Databricks Lakehouse Platform, allowing users to perform spatial analytics at scale., June 2023: Meta Platforms, the parent organization of Facebook and Instagram, announced its plans to grant researchers access to components of its new "human-like" artificial intelligence (AI) model. This advanced model, named I-JEPA, boasts superior accuracy in analyzing and completing unfinished images compared to existing models. Unlike other generative AI models primarily focusing on neighboring pixels, I-JEPA utilizes background knowledge about the world to fill in the missing portions of images.. Key drivers for this market are: Increasing Adoption of Location-based Services, Increasing Demand for Safe and Secure Mining Operations. Potential restraints include: Increasing Adoption of Location-based Services, Increasing Demand for Safe and Secure Mining Operations. Notable trends are: Cloud Segment is Expected to Hold a Significant Share of the Market.

The size of the Spain Geospatial Imagery Analytics Market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 23.00% during the forecast period.Geospatial imagery analytics is the interpretation and analysis of geospatial data produced from satellite, aerial, and drone imagery. The technology used for this advanced technique is remote sensing, geographic information systems, and artificial intelligence in images, which provide significant insight into value. Spatial patterns and temporal changes as well as thematic information are analyzed while generating informed decisions, optimizing operations, and addressing critical challenges among organizations.The geospatial imagery analytics market in Spain is highly growing due to its wide applications in different sectors. It is applied in agriculture for tracking crop health, optimization of irrigation, and analysis of land use patterns. In the urban planning, it applies geospatial analytics in developing cities, infrastructure planning, and managing disasters. Geospatial analytics also plays a significant role in environmental monitoring, climate change analysis, and natural resource management. These drones, coupled with advanced image processing techniques, are further boosting the growth rate in the Spanish geospatial imagery analytics market. Recent developments include: July 2023: Databricks is the provider of a big data tool named Databricks Lakehouse Platform, which merges data science, data engineering, machine learning, and analytics within a single platform. To provide even more valuable insights to data scientists, spatial analytics is often added to the mix to put large amounts of data in the proper context. A new partnership with Esri brings advanced spatial analytics capabilities in Esri’s ArcGIS software to the Databricks Lakehouse Platform, allowing users to perform spatial analytics at scale., June 2023: Meta Platforms, the parent organization of Facebook and Instagram, announced its plans to grant researchers access to components of its new "human-like" artificial intelligence (AI) model. This advanced model, named I-JEPA, boasts superior accuracy in analyzing and completing unfinished images compared to existing models. Unlike other generative AI models primarily focusing on neighboring pixels, I-JEPA utilizes background knowledge about the world to fill in the missing portions of images.. Key drivers for this market are: Increasing Adoption of Location-based Services, Increasing Demand for Safe and Secure Mining Operations. Potential restraints include: Legal and Regulatory Hurdles. Notable trends are: Cloud Segment is Expected to Hold a Significant Share of the Market.

Mosaiced 100m resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

Despite the importance of authoritarian and nationalist values in military culture, we know little about the link between the military and the far right. In this article we argue that there is an ideological affinity between the military and far-right parties, strengthened by occupational socialization. Moreover, the presence of military institutions also helps mobilizing far-right support among the surrounding population. We test this argument using data from Spain. We show both that military personnel are substantially more likely than civilians to support the far right and that the location of military facilities in Spain is linked to higher far-right support. We also discuss the generalizability of the results and provide tentative evidence that a similar link is likely to be observed in countries where the armed forces have been historically focused on controlling internal dissent and where national sovereignty has been threatened, by either internal or external challengers.

Spain Geospatial Analytics 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 2025 - 2033.

Salmonella is one of the most important foodborne pathogens worldwide. Its main reservoirs are poultry and pigs, in which infection is endemic in many countries. Spain has one of the largest pig populations in the world. Even though Salmonella infection is commonly detected in pig farms, its spatial distribution at the national level is poorly understood. Here we aimed to report the spatial distribution of Salmonella-positive pig farms in Spain and investigate the presence of potential spatial trends over a 17-year period. For this, data on samples from pigs tested for Salmonella in 2002–2013, 2015, 2017, and 2019 as part of the Spanish Veterinary Antimicrobial Resistance Surveillance program, representing 3,730 farms were analyzed. The spatial distribution and clustering of Salmonella-positive pig farms at the province level were explored using spatial empirical Bayesian smoothing and global Moran's I, local Moran's I, and the Poisson model of the spatial scan statistics. Bayesian spatial regression using a reparameterized Besag-York-Mollié Poisson model (BYM2 model) was then performed to quantify the presence of spatially structured and unstructured effects while accounting for the effect of potential risk factors for Salmonella infection at the province level. The overall proportion of Salmonella-positive farms was 37.8% (95% confidence interval: 36.2–39.4). Clusters of positive farms were detected in the East and Northeast of Spain. The Bayesian spatial regression revealed a West-to-East increase in the risk of Salmonella infection at the province level, with 65.2% (50% highest density interval: 70–100.0%) of this spatial pattern being explained by the spatially structured component. Our results demonstrate the existence of a spatial variation in the risk of Salmonella infection in pig farms at the province level in Spain. This information can help to optimize risk-based Salmonella surveillance programs in Spain, although further research to identify farm-level factors explaining this pattern are needed.