Sökning: "head tail breaks"

Visar resultat 6 - 8 av 8 uppsatser innehållade orden head tail breaks.

  1. 6. A study on Extraction of Natural Cities from the Nightlight Imagery Using Head/tail breaks method

    Kandidat-uppsats, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad

    Författare :Sirui Wu; [2013]
    Nyckelord :nightlight imagery; extraction of natural cities; head tail break; threshold; power law;

    Sammanfattning : With the high development of economic and demand for city research, an issue of detecting city boundaries plays an extremely important role in urbanization that promotes the progress of human civilization. Some critical applications such as land use, urban planning and city sprawl have been constantly discussed, which rely on the acquisition of city areas. LÄS MER

  2. 7. A Case Study on the Extraction of the Natural Cities from Nightlight Image of the United States of America

    Magister-uppsats, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad

    Författare :QINGLING LIU; [2013]
    Nyckelord :cities boundaries; DMSP OLS; head tail breaks classification; nighttime lights; power law; urban areas;

    Sammanfattning : The boundaries of the cities are not immutable, they can be changed. With the development of the economies and societies, the population and pollution of cities are increasing. Some urban areas are expanding with more population or other dynamics of urbanization, while other urban areas are reducing with the changing of the dynamics. LÄS MER

  3. 8. A Comparison Study on Natural and Head/tail Breaks Involving Digital Elevation Models

    Kandidat-uppsats, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad

    Författare :Yue Lin; [2013]
    Nyckelord :Head tail breaks; natural breaks; heavy-tailed distribution; scaling property; data classification; digital elevation models;

    Sammanfattning : The most widely used classification method for statistical mapping is Jenks’s natural breaks. However, it has been found that natural breaks is not good at classifying data which have scaling property. Scaling property is ubiquitous in many societal and natural phenomena. It can be explained as there are far more smaller things than larger ones. LÄS MER