Essays about: "Geographically Weighted Regression"

Showing result 1 - 5 of 14 essays containing the words Geographically Weighted Regression.

  1. 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 ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : 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

  3. 2. 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

  4. 3. Geographically Weighted Regression based Investigation of Transport Policies for Increased Public Transport Ridership : A Case Study of Stockholm

    University essay from KTH/Transportplanering

    Author : Robert Günther Klar; [2021]
    Keywords : Public transport competitiveness; Geographically weighted regression; Public transport usage rate; Feature selection; Predictive modelling; Smart card data; ollektivtrafikens konkurrenskraft; Geografiskt viktad regression; Public transport usage rate; förutsägande modellering; variabel val; Smart card data;

    Abstract : 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

  5. 4. Geographically Weighted Regression as a Predictive Tool for Station-Level Ridership : The Case of Stockholm

    University essay from KTH/Transportplanering

    Author : Karim Ounsi; [2019]
    Keywords : ;

    Abstract : 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

  6. 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 ekosystemvetenskap

    Author : Evangelos Vafeiadis; [2019]
    Keywords : geography; GIS; spatial analysis; geographic weighted regression; spatial clustering; local indicators of spatial association; public transport; accessibility; Social Sciences; Earth and Environmental Sciences;

    Abstract : 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