search query: @instructor Korpi, Jari / total: 6
reference: 6 / 6
« previous | next »
Author:Zhang, Zhe
Title:A spatio-temporal population model for alarming, situation picture and warning system
Publication type:Master's thesis
Publication year:2009
Pages:63 + [15]      Language:   eng
Department/School:Maanmittaustieteiden laitos
Main subject:Kartografia ja geoinformatiikka   (Maa-123)
Supervisor:Virrantaus, Kirsi
Instructor:Korpi, Jari
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark M80     | Archive
Keywords:spatio-temporal model
spatio-temporal atom
estimation of population size
real world object
geodatabase
estimation methods
Abstract (eng): Traditional Geographical Information System (GIS) applications describe reality in a static manner: the time dimension is not taken into account.
In real life, most phenomena change with time.
That is why spatio- temporal models have become more important in the GIS field.
My research topic is a spatio-temporal population model which calculates the amount of people in a certain area at a certain time.
The mode is part of the alarming situational picture and warning system for CBRN and natural disaster incidents (UHHA) project, which is funded by the Finnish Funding Agency for Technology and lnnovation (TEKES).
Several other organisations are involved in this project, such as Valtion Teknillinen Tutkimuskeskus (VTT), the Finnish Meteorological lnstitute (FMI), lnsta Ltd, Helsinki University and Finnish Chemicals Ltd.
The goal of the whole project is to set up an alarm, warning and information exchange system that rescue personnel can use in the event of an emergency.
A chemical accident in Kuusankoski is selected as a study case for this research project.
Finnish Chemicals Ltd is a company which produces hazardous chemicals such as chlorine. chlorine dioxide. hydrogen. and sodium.
In the event of a chemical leakage accident. the Finnish Meteorological Institute is responsible for creating a dispersion model to identify the risk area.
This risk area will be the location input of the spatio-temporal population model.
The model provides information about how many people are located inside the risk area at a certain time.
The whole system architecture is designed by VTT.
The data used for implementing the population model should he available for every municipality in Finland.
In this case. the Kuusankoski base register data (Building Information System) and Digiroad data are used.
The model is implemented in the Java programming language with the help of the ArcEngine API.
ED:2009-04-03
INSSI record number: 37278
+ add basket
« previous | next »
INSSI