This GIS study applies Geographically Weighted Regression (GWR) to investigate the spatial relationship between Purchasing Power Index (PPI) and the distribution of gambling-related retail establishments within the city of Madrid. My aim is to account for spatially varying relationships driven by local urban contexts, under the assumption that the relationship between socioeconomic conditions and the presence of gambling venues varies across urban space. My hypothesis is that the socioeconomic conditions of the urban fabric can be a breeding ground for the location of betting shops, or in other words, I am attempting to Detect Urban Vulnerability to Gambling Harm.
Category Archives: negocios/business
Testing GEMINI for 3D environments. From SketchUp to an unlikely future!
The exercise shows how a simple SketchUp 3D volume, defined solely by its basic geometry, can be transformed into a complex architectural proposal. Starting from the initial schematic model, the system interprets proportions, levels, and shapes, and converts them into a fully developed building, complete with textures, vegetation, lighting, and an urban context
Mapping Something Unthinkable: Flood Risk in Madrid using Open Data
Dont get wrong if you see the IA background showing our handsome major almost showing his beautiful smile in Cibeles/Correos it’s only to get your attentions (only if you need it thou!). Flooding in urban environments is not a speculative hazard but something we can quantify. In the case of Madrid, the intersection of pretty mountainous terrain (it might surprise you there are 2000m difference between the highest spot in Madrid province, Pico Peñalara -2428m- and the Alberche river environment in some areas -430m-) and urban expansion presents a scenario of significant risk, particularly when analyzed through the lens of shared high-resolution geospatial data. This study integrates the buildings from BTN (Base Topográfica Nacional) provided by the Spanish “IGN”, the CNIG with the official flood hazard maps for a 100-year return period (T=100), published by the Ministry for the Ecological Transition and the Demographic Challenge (MITECO). The T=100 scenario is the most representative for evaluating long-term flood exposure, as it reflects events with a 1% annual probability—rare but not improbable, and certainly not negligible.
Spatial relationship between “high schools” and “betting shops” in Madrid. A first approach (1)
It is a fact that a betting shop should not be close to a secondary school. Its obvious the impact on population ranging 12-17 could be higher than in other. How near? 100m? 500m? Euclidean distance or following the street network?. In any case, if I choose for instance a range of 500m, for example, 81% of betting shops in Madrid have secondary schools within that distance (258 out of 316). Looking at it from the secondary schools’ point of view, almost 60% of secondary schools have betting shops within 500m (171/291). This is undoubtedly an issue that needs to be addressed.
Agricultura de Precisión. Uso del Satélite para la toma de decisiones en el campo
Quieres conocer cuál es el momento óptimo para plantar? Para fumigar? Para recolectar?. Sabías que dos de cada tres agricultores no cosechan en la fase de madurez adecuada?. Aquí abajo te describo un método completamente automatizado mediante el uso combinado de varios índices de vegetación como NDVI, NDWI, SAVI y EVI que podemos extraer del Satétile SENTINEL-2 en la plataforma COPERNICUS de la UE para conocer exactamente y anticipar las mejores decisiones de intervención sobre tus tierras.
Spider diagrams in GEE and QGIS
Hace unos días, caminando por una calle concreta —no muy lejos de mi casa, la cual recorro con regularidad— me pregunté cuál era realmente la estación de metro más cercana. Tiendo a pensar que siempre es Puerta del Ángel… y en realidad, lo es. Pero aún así, quise comprobarlo quantitativamente, empíricamente. ¿Y si no fuera tan evidente?
En este tutorial se explica cómo crear un efecto visual dinámico en QGIS que simula una «araña» (ragnetto) que conecta automáticamente los 8 puntos más cercanos al cursor del mouse. Esta funcionalidad permite visualizar relaciones espaciales de forma interactiva y resulta especialmente útil para análisis de proximidad.
Sentinel-1 SAR: Un aliado indispensable para el análisis y seguimiento de inundaciones – Derna, Libia (2023)
La gestión y monitorización de fenómenos hidrológicos extremos, como inundaciones repentinas o fallos estructurales en presas, representan un desafío crítico para los especialistas en geomática, hidrología y planificación territorial. En este contexto, la tecnología radar de apertura sintética (SAR) a bordo del satélite Sentinel-1 de la Agencia Espacial Europea (ESA) ofrece una capacidad sin precedentes para capturar información precisa y fiable sobre la dinámica superficial, independientemente de las condiciones atmosféricas y lumínicas.
Urban delineation methods beyond administrative boundaries
As a geographer working with Geographic Information Systems (GIS), I am particularly interested in exploring urban delineation methods that move beyond the constraints of administrative boundaries. Instead of relying on official municipal limits—which can often be outdated or misaligned with functional realities on the ground—I focus on delineating urban areas based on physical indicators such as built-up surface, population density, and spatial continuity. This approach allows for a more accurate and dynamic understanding of urban space.
Urban Heat Islands, Trees, and Climate Justice in the Anthropocene: A Remote Sensing-Based Reflection
In recent years, the need to understand the urban environment has grown more urgent than ever. Climate change is not an abstract future scenario; it is already here, reshaping our cities day by day. Among the many phenomena that demand our attention, the Urban Heat Island (UHI) effect stands out—not only for its environmental and public health impacts but also for its socio-political implications. Through satellite imagery and remote sensing, we can now visualize and quantify these dynamics with increasing precision. This post reflects on such an analysis I conducted using LANDSAT 8 imagery (Scene ID: LC08_L2SP_201032_20250328_20250401_02_T1, Date Acquired: 2025/03/28), and discusses the findings in the broader context of urban planning, climate justice, and the urgent need to protect urban vegetation.
Water Quality Viewer (UWQV) for Sentinel -2
The Ulyssys Water Quality Viewer harnesses the power of Sentinel-2 satellite data to provide comprehensive and accurate water quality assessments. Its intuitive legend and visualization capabilities significantly enhance the user’s ability to interpret and act on environmental data, contributing to better water management and conservation efforts worldwide, particularly in ecologically and economically significant areas like La Mata and Torrevieja salt lagoons.
Geovisualization.net 