Madriwa is an interactive web application designed to help people find the most suitable neighbourhood to live in Madrid by analysing urban data, nearby services and personal preferences.

The platform collects and processes information from more than 100 data sources, many of them from the Madrid City Council's open data, and updates this information regularly through automatic data analysis processes. With this data, it generates personalized profiles and recommendations on different areas of the city.

Through the application, the user can enter their interests or profile (for example, student, family or couple) and the tool analyzes which neighborhoods best fit those preferences. It also allows you to indicate important places such as work, university or the gym, to calculate distances and travel times.

Madriwa's key features include:

• Classification of neighborhoods in Madrid according to user preferences.
• Display on an interactive map with information on nearby services and facilities.
• Analysis of travel and isochronous times from different locations.
• Consultation of urban indicators such as average income, safety, population density or presence of facilities (schools, hospitals, public transport, etc.).

The app uses data analytics technologies, geographic information systems, and mapping visualization to transform large volumes of urban information into understandable recommendations for those looking for housing in the city.

Embarriados Atlas of the new urban and social vulnerability in Spain is a research project by the company 300,000 km/s and the COTEC Foundation that seeks to provide new knowledge about the relationship between city, mobility and urban inequality to support the formulation of public policies and avoid the potential risks of social segregation resulting from decarbonization. 

Embarriados is based on the idea that the new urban models of low mobility promote health and social well-being, but at the same time entail a risk of greater segregation of the population due to the new spatial dynamics that reduce the interaction between different social groups. Its objective is to provide evidence to design more inclusive cities and anticipate segregation risks in the transition to decarbonized urban models. 

The research is based on the analysis of massive data that allows describing the socioeconomic level of the population, urban fabrics and their uses, and daily movements from mobile telephony, integrating these layers to build territorial metrics and indicators. The project publishes replicable methodology and the data model for reuse. 

The portal includes a section with the final data model that includes the indicators and the clustering is shared so that it can be used. 

The application is a tourist mobility analytics platform that integrates overnight stay data from the INE's experimental statistics with its own spatial estimation algorithms, capable of identifying the attraction of tourists at the 100-metre grid level. This approach allows working with a high granularity, facilitating a precise understanding of how tourist flows are distributed and concentrated in the territory.

On this basis, the solution incorporates advanced models for the processing of mobility matrices, aimed at detecting patterns, recurrences and relevant dynamics in the movements of tourists. Based on this data, an automated system of insights generation  is activated  that identifies high-value events, that is, significant findings that emerge from large volumes of complex, redundant or apparently obvious information, and that are transformed into useful and actionable knowledge.

All this analytical capacity is presented through a conversational interface based on generative artificial intelligence (GenAI/LLM), which allows non-technical users to interact with the system using natural language. In this way, the exploration, understanding and interpretation of data is facilitated, reducing technical complexity and favoring informed decision-making in areas such as tourism planning, destination management and the optimization of strategies within the sector.

Description: The Housing Viewer of the Institute of Statistics and Cartography of Andalusia (IECA) is an interactive web application that allows you to explore and analyse the spatial distribution of housing in Andalusia using detailed maps and geographical data.

The tool is part of the statistical project "Characterization and distribution of built space in Andalusia", whose objective is to offer exhaustive information on the housing stock of the autonomous community. The data come mainly from the Real Estate Cadastre and are organised into a statistical grid of cells of 250 × 250 metres, which allows the location and characteristics of the dwellings to be studied with great territorial precision. 

Through the viewer, the user can:

• To visualize the geographical distribution of homes in the Andalusian territory.
• Consult statistical information associated with each area of the map.
• Search and navigate the map using zoom and cell selection tools.
• Access alphanumeric data and cartographic layers that show different characteristics of the residential stock. 

The application is designed for citizens, researchers, technicians and public administrations, as it facilitates the territorial analysis of housing and supports urban planning, the study of the real estate market or research on the development of the territory. In addition, the data can be downloaded and used in other geographic information systems.

Minerva is  Viladecans City Council's smart city platform designed to integrate, unify and exploit urban data in real time, combining information from municipal sensors, corporate databases and external public and private sources. Developed on a cloud architecture under a SaaS model  , it allows heterogeneous data to be centralised and transformed into structured, interoperable and accessible information.

Through interactive panels, dynamic maps and geovisors (based on Esri ArcGIS Enterprise technology), the platform facilitates sectorized visualization by areas such as mobility, air quality, energy efficiency, maintenance of public space or citizen safety. 

One of the most relevant aspects is the integration and reuse of open data. Minerva not only consumes public data from other administrations (such as traffic, weather or transport), but also publishes much of the information generated on the Viladecans 360 portal. 

In this way, Minerva not only acts as an internal tool for municipal management, but also as an urban data ecosystem that promotes innovation, participation and evidence-based decision-making, strengthening a more efficient, sustainable and open city model.

TE Climate Zones Consultant is an interactive web application that allows users to check the climate zone of any municipality in Spain according to the Building Technical Code (CTE DB-HE 2021).

It includes data on altitude, population, and average income by municipality. It is developed as a Progressive Web App (PWA) with free access, enabling citizens and professionals in the construction sector to consult the climate classification of Spanish municipalities in accordance with current energy efficiency regulations in buildings.

Features:

• Municipality search: სწრაფ location of any of Spain’s 8,000+ municipalities באמצעות predictive search.
• Map visualization: Interactive map with the geographic boundaries of the selected municipality.
• Detailed information: For each municipality, the app displays INE code, province, altitude above sea level, climate zone (winter and summer climate severity), population, and average per capita income.
• Offline functionality: Once loaded, the application works without an internet connection.
• Installable: Available as an app on Android and iOS mobile devices.

Data sources:

• Climate zones: Building Technical Code, Basic Energy Saving Document (CTE DB-HE 2021), published by the Ministry of Transport, Mobility and Urban Agenda.
• Municipal codes: Local Entities Register of the National Statistics Institute (INE).
• Municipal boundaries: Boundary lines database from the National Geographic Information Center (CNIG).
• Municipal population: Continuous Register (Padrón Continuo) from the INE.
• Average income per inhabitant: Household Income Distribution Atlas, prepared by the INE in collaboration with the Tax Agency.

Technical data:

• Type: Progressive Web Application (PWA)
• Access: Free and no registration required
• GDPR/Data Protection: No cookies used. No user geolocation. No collection of personal data. 100% anonymous
• Compatibility: Modern browsers (Chrome, Safari, Firefox, Edge)
• Devices: Desktop, tablet, and mobile
• URL: https://mapa.dimetrics.es/zonas_climaticas.html

Developer: Fundación Informativos.Net — a non-profit organization committed to dissemination and universal access to high-quality information — at the request of Aislame.es, a company specialized in thermal insulation, energy efficiency, and CAE management.

License of use: Free-access application for consultation purposes. The data shown comes from official public sources and is provided for informational use. For regulatory applications, always refer to the official CTE documentation. Rights belong to Adame Consulting S.L. (CIF B23938103).

This library aims to highlight and preserve the historical memory of Villel de Mesa by promoting research, preservation, and the dissemination of all knowledge related to the town, while providing open access to everyone.

To achieve this, it pursues the following objectives:
📚 To catalogue, organize, and digitize documents and cultural resources related to Villel de Mesa.
🖥️ To facilitate access to documentary resources through a virtual platform.
🔎 To encourage research and interest in the history and culture of Villel de Mesa.
🤝 To establish collaborations with individuals and cultural institutions in order to expand the available resources.

In addition, it includes a substantial documentary repository that links to resources from other libraries, archives, and institutions. It also holds a modest digitalized collection of its own documents, as well as a set of monographs that deal extensively with the history, heritage, natural environment, and social context of Villel de Mesa.

This unofficial website provides information about the Municipal Sports Games of Madrid. The data is obtained from the Madrid City Open Data Portal. Users can view schedules, results, statistics, and other information about 10 different sports included in the Municipal Sports Games.

embalses.es is a free web platform that gathers, integrates and visualises in real time the hydrological data of the 449 reservoirs in Spain. It is aimed at farmers, fishermen, professionals in the hydrological sector, environmental researchers, data journalists and anyone interested in the state of water resources in Spain.

The project was born with the aim of facilitating citizen access to hydrological information, currently dispersed in multiple institutional portals, integrating it into a single modern, fast and accessible interface. The information is automatically updated every 15 minutes from official sources, such as the Ministry for the Ecological Transition and the Demographic Challenge (MITECO) and the 13 SAIH systems of the hydrographic confederations. 

Main functionalities

• Interactive choropletic map by basins and provinces with real-time fill levels.
• Interactive historical graphs with zoom, selection of up to 8 years and comparison with the 10-year average.
• Reservoir rankings: fuller, emptier, higher weekly rises and falls.
• Comparator of up to 10 reservoirs with simultaneous visualization of their data.
• Favorites system for quick access to selected reservoirs.
• Detailed technical data sheets with information on location, capacity and construction characteristics.
• Navigation through river basins, provinces, autonomous communities and rivers.
• Recent readings with hourly volume, level, and flow data.
• Download graphics in image format and generate infographics.
• Options to share data via WhatsApp, X (Twitter) or direct link.
• Global search engine for reservoirs, basins and provinces.
• Integration of graphics into other websites using iframe.
• Progressive web application (PWA) installable on mobile devices with offline access. 

Data available by reservoir

• Reservoir volume (hm³)
• Water level (m)
• Fill Percentage (%)
• Inlet and outlet flow (m³/s)
• Accumulated precipitation (mm) 

All data is displayed without alterations, respecting its original format.

Dato Asturias is a real-time interactive dashboard that offers a complete and up-to-date view of the Principality of Asturias. The platform aggregates more than 30 institutional open data sources into a single visual interface, allowing citizens, researchers, journalists, and administrations to  consult the state of the region at a glance.

The system automatically updates its data with different frequencies depending on the source: from 5-minute intervals for weather information to daily updates in economic indicators or weekly updates in health data, thus ensuring continuous access to reliable and recent information.

The application integrates a wide set of functionalities organized by thematic areas. In the block of alerts and warnings, it includes active weather warnings (AEMET), heat sources detected by satellite (NASA FIRMS), earthquakes (IGN) and the state of roads and mountain passes (112 Asturias).

• In meteorology, it offers prediction and observations for the 78 councils, real-time air quality (AsturAire), pollen and pollutant forecasts (Copernicus CAMS), UV index, Saharan haze, sea and tidal conditions (Puertos del Estado), sea surface temperature (Copernicus Marine), ski resort information, Sentinel-2 satellite images and drought monitor (Copernicus Emergency).
• The hydrology section  includes river flow, reservoir levels, rain gauges and real-time data from the Cantabrian SAIH, along with accumulated weekly history and WMS flood risk layers (GloFAS/EFAS).
• In transport, schedules and delays are shown in real time for Cercanías Asturias (Renfe GTFS-RT), flights from Asturias airport (AENA), cameras and traffic incidents (DGT, TomTom) and travel times between cities.
• The economy section  includes indicators such as GDP, employment, unemployment, affiliation, wages, companies, exports and energy mix (REE), with historical and year-on-year comparative series. In prices, the price of electricity hour by hour (REE/PVPC), fuel at all Asturian petrol stations (Ministry of Energy) and the CPI broken down by groups (INE) are offered.
• The housing block  includes house prices by council, mortgages constituted, cadastral data and rental prices by census tract (SERPAVI/MITMA). In health, weekly epidemiological surveillance (flu, COVID-19, RSV, rhinovirus), positivity rates and pharmacies on duty are included.
• In population, indicators such as number of inhabitants, age pyramid, birth rate, mortality, median age, density, urban-rural distribution and foreign population are shown, all by council and with historical evolution. In turn, the quality of life module  incorporates its own index based on eight dimensions (prosperity, employment, demography, dynamism, public spending, housing, education and health), with a ranking of the 78 councils and a comparator of up to three municipalities.
• The tourism and culture area  offers data on travellers, overnight stays, average stay and type of accommodation, including hostels on the Camino de Santiago, with monthly and year-on-year evolution (INE, SADEI). In public office, subsidies, grants, scholarships (BDNS) and public employment offers are collected filtered for Asturias.
• The political bloc  presents electoral results, composition of municipal corporations, mayors and distribution of the vote by council. In sports, they include football classifications (Real Oviedo, Sporting de Gijón), mountain race calendar (FEMPA) and monitoring of the salmon season.

The platform also incorporates a live map with more than 15 superimposed layers (temperature, reservoirs, rivers, air quality, earthquakes, hot spots, DGT cameras, incidents, fire risk, AEMET stations, parishes and points of interest), as well as a geographical atlas with 57,000 toponyms from the Basic Geographical Gazetteer of Spain, filterable and represented on an interactive map.

Among its additional functionalities are an agenda of cultural and festive events, an institutional  and regional news module, a trending section  based on visits to Wikipedia, the daily game GeoAsturias for geographical recognition, and detailed council files that integrate all the information available at the municipal level.

To offer these services, the application relies mainly on institutional open data sources, including AEMET, INE, SADEI, Red Eléctrica de España, IGN, DGT, Cantabrian Hydrographic Confederation, NASA FIRMS, Copernicus (CAMS, Marine, EFAS, Emergency), Puertos del Estado, AENA, Renfe, 112 Asturias, AsturAire and the Ministry of Energy, among others.