Essays about: "Geographically Weighted Regression"
Showing result 1 - 5 of 14 essays containing the words Geographically Weighted Regression.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Multi-scale Bark Beetle Predictions Using Machine Learning
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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
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3. Geographically Weighted Regression based Investigation of Transport Policies for Increased Public Transport Ridership : A Case Study of Stockholm
University essay from KTH/TransportplaneringAbstract : Public transport plays a vital role in society as the economy, the degree of sustainability and the qualityof life of a city is directly affected by transportation. A shift in modal share towards public transport isassociated with many benefits such as increased air quality and improved space allocation within thecity. READ MORE
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4. Geographically Weighted Regression as a Predictive Tool for Station-Level Ridership : The Case of Stockholm
University essay from KTH/TransportplaneringAbstract : This thesis studies a new regression method, Geographically Weighted Regression (GWR)to predict ridership at the station level for future stations. The case study of Stockholm’s blue lineis used as new stations will be built by 2030. This paper is written in English. READ MORE
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5. Exploring the distribution of accessibility by public transport using spatial analysis : a case study for retail concentrations and public hospitals in Athens
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : This thesis studies the distribution of accessibility by public transport to retail concentrations and public hospitals in Athens, using spatial autocorrelation analysis based on Local Indicators of Spatial Autocorrelation (LISA) method and Geographically Weighted Regression (GWR). For this reason, the study area was divided in a 300x300 meter square grid of points representing the location points of the study. READ MORE