Essays about: "spatially weighted regression"

Found 3 essays containing the words spatially weighted regression.

1. 1. Multi-scale Bark Beetle Predictions Using Machine Learning

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Albert Øhrman Wellendorf; [2023]
   Keywords : Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

   Abstract : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. READ MORE

3. 2. Spatio-temporal Traffic Flow Prediction

   University essay from KTH/Geoinformatik

   Author : Mesele Atsbeha Gebresilassie; [2017]
   Keywords : ITS; principal component analysis; spatio-temporal traffic flow; spatially weighted regression; traffic flow prediction; support vector machine for regression;

   Abstract : The advancement in computational intelligence and computational power and the explosionof traffic data continues to drive the development and use of Intelligent TransportSystem and smart mobility applications. As one of the fundamental components of IntelligentTransport Systems, traffic flow prediction research has been advancing from theclassical statistical and time-series based techniques to data–driven methods mainly employingdata mining and machine learning algorithms. READ MORE

4. 3. Applications of Geographic Information Systems as an analytical and visualization tool for mass real estate valuation : a case study of Fontibón district, Bogotá, Colombia

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Rafael D. Villarreal Pacheco; [2009]
   Keywords : mass appraisal; real estate valuation; GIS; location variables; local statistics; Earth and Environmental Sciences;

   Abstract : Los avalúos masivos de propiedades están basados en su mayoría en modelos estadísticos globales que tienen en cuenta las características de las propiedades; sin embargo, los modelos utilizados en Bogotá, no tienen en cuenta variables de localización explícitamente. En este estudio se utilizaron Sistemas de Información Geográfica (SIG) como herramienta analítica para desarrollar una serie de variables de localización y analizar su impacto en el valor de las propiedades; se crearon variables como la proximidad a un aeropuerto, proximidad a centros comerciales y el acceso a vías principales, se generaron mapas de superficie con los valores de las propiedades y se analizó el efecto de las diferentes variables de localización en el precio de las propiedades. READ MORE