A METHOD FOR ESTIMATING THE NUMBER OF HOUSEHOLDS IN A REGION FROM THE NUMBER OF BUILDINGS ESTIMATED BY DEEP LEARNING WITH THE ADJUSTMENT OF ITS NUMBER USING ANCILLARY DATASETS: CASE STUDY IN DJAKARTA
R. Ito,K. Hara,Y. Shimazaki,N. Mori,Y. Kani,and A. Okabe
R. Ito
PASCO CORPOLATION, Tokyo, Japan
K. Hara
PASCO CORPOLATION, Tokyo, Japan
Y. Shimazaki
PASCO CORPOLATION, Tokyo, Japan
N. Mori
PASCO CORPOLATION, Tokyo, Japan
Y. Kani
PASCO CORPOLATION, Tokyo, Japan
A. Okabe
Aoyama Gakuin University, Tokyo, Japan
Viewed
Total article views: 563 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
289
251
23
563
33
22
HTML: 289
PDF: 251
XML: 23
Total: 563
BibTeX: 33
EndNote: 22
Views and downloads (calculated since 25 Aug 2020)
Cumulative views and downloads
(calculated since 25 Aug 2020)
Viewed (geographical distribution)
Total article views: 547 (including HTML, PDF, and XML)
Thereof 547 with geography defined
and 0 with unknown origin.