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Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics and...
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Michele Mangiameli, Giuseppe Mussumeci and Antonio Gagliano
This study focuses on the determination and examination of both the Land Surface Temperature (LST) and the atmospheric temperature in the city of Catania Sicily (Italy), through freely available satellite remote sensing images from the Sentinel-2 and MOD...
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Còssima Cornadó, Sara Vima-Grau, Pilar Garcia-Almirall, Angel Uzqueda and Mireia de la Asunción
The promotion of rehabilitation is an urgent necessity in today?s consolidated cities, both due to the need to update their buildings to achieve habitability and safety standards that are required nowadays, as well as to stop the deterioration of buildin...
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Taha I. M. Ibrahim, Sadiq Al-Maliki, Omar Salameh, István Waltner and Zoltán Vekerdy
Many scientists have been investigating Land Surface Temperature (LST) because of its relevance in water management science due to its direct influence on the hydrological water cycle. This effect stems from being one of the most significant variables in...
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João Monteiro, Bruno Martins, Miguel Costa and João M. Pires
Datasets collecting demographic and socio-economic statistics are widely available. Still, the data are often only released for highly aggregated geospatial areas, which can mask important local hotspots. When conducting spatial analysis, one often needs...
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Jinwoo Park and Daniel W. Goldberg
Spatial accessibility provides significant policy implications, describing the spatial disparity of access and supporting the decision-making process for placing additional infrastructure at adequate locations. Several previous reviews have covered spati...
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Elias Pajares, Rafael Muñoz Nieto, Liqiu Meng and Gebhard Wulfhorst
A wide range of disciplines require population data with high spatial resolution. In particular, accessibility instruments for active mobility need data on the building access level. Data availability varies by context. Spatially detailed national census...
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João Monteiro, Bruno Martins, Patricia Murrieta-Flores and João M. Pires
High-resolution population grids built from historical census data can ease the analyses of geographical population changes, at the same time also facilitating the combination of population data with other GIS layers to perform analyses on a wide range o...
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Ananda Karunarathne and Gunhak Lee
Since populations in the developing world have been rapidly increasing, accurately determining the population distribution is becoming more critical for many countries. One of the most widely used population density estimation methods is dasymetric mappi...
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Michael Wegener, Klaus Spiekermann
Urban and regional models have been developed for different policy fields at different levels of spatial and temporal resolution. But it has become apparent that policies interact across space and time and need to be modelled together. The first urban an...
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