Sökning: "Geographically Weighted Regression"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Geographically Weighted Regression.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Multi-scale Bark Beetle Predictions Using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, KTH/Transportplanering

   Författare :Robert Günther Klar; [2021]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 4. GIS-baserad prediktion av HIV : en förstudie

   Kandidat-uppsats, Karlstads universitet/Institutionen för miljö- och livsvetenskaper (from 2013)

   Författare :Oscar Sandin; [2019]
   Nyckelord :GIS; HIV; Regressionsanalys; Tanzania;

   Sammanfattning : Epidemic Human Immunodeficiency Virus (HIV) due to its rapid spread and deep influence has been a unique phenomenon in the near history. The virus has been existing all over the world, the spread of infection is both dynamic and complex. Epidemics are a geographical phenomenon with a certain extent. LÄS MER

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

   Master-uppsats, KTH/Transportplanering

   Författare :Karim Ounsi; [2019]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER