Visualization of Geospatial Data by Component Planes and U-matrix

نویسندگان

  • Marcos Aurélio Santos da Silva
  • Antônio Miguel Vieira Monteiro
  • José Simeão Medeiros
چکیده

This paper shows an application of two visualization algorithms of multivariate data, U-matrix and Component Planes, in a matter of exploratory analysis of geospatial data. These algorithms were applied in the investigation of urban social exclusion/inclusion in the city of São José dos Campos SP, Brasil.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Self-organizing Maps for Information Visualization and Knowledge Discovery in Complex Geospatial Datasets

New data acquisition techniques are offering tremendous opportunities that result in more and more geospatial data to be handled. Analyzing these data becomes a difficult task due to the size of datasets, their complexity, scaling problems, and hidden patterns. The complexity of the attribute or feature space in such large datasets as well as related computational burdens, do not always allow t...

متن کامل

Using Self-organizing Maps for Information Visualization and Knowledge Discovery in Complex Geospatial Datasets

New data acquisition techniques are offering tremendous opportunities that result in more and more geospatial data to be handled. Analyzing these data becomes a difficult task due to the size of datasets, their complexity, scaling problems, and hidden patterns. The complexity of the attribute or feature space in such large datasets as well as related computational burdens, do not always allow t...

متن کامل

compare the effectiveness of teaching strategy learning and visualization and self-regulation training on student problem solving skills

Background and Aim: The purpose of this study was to compare the effectiveness of teaching strategy learning and visualization and self-regulation training on student problem solving skills. Materials and Methods: The present research was experimental. The research population consisted of all 7th grade students in Tehran during the academic year 1397-1396. Using multi-stage cluster sampling, 12...

متن کامل

The detection of 11th of March 2011 Tohoku's TEC seismo-ionospheric anomalies using the Singular Value Thresholding (SVT) method

The Total Electron Content (TEC) measured by the Global Positioning System (GPS) is useful for registering the pre-earthquake ionospheric anomalies appearing before a large earthquake. In this paper the TEC value was predicted using the singular value thresholding (SVT) method. Also, the anomaly is detected utilizing this predicted value and the definition of the threshold value, leading to the...

متن کامل

U-maps: topograpic visualization techniques for projections of high dimensional data

The visualization of distance structures in high dimensional data as topographic maps (U-matrix) is a standard method for Emergent Self Organizing Maps (ESOM). This work describes the extension of this visualization to other projections like principal component analysis (PCA), independent component analysis (ICA), multidimensional scaling (MDS), Sammon’s mapping, or Isomap. Each of the methods ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004