tag:blogger.com,1999:blog-5985879052160424627.post1712433827968633558..comments2024-03-27T16:46:12.826+11:00Comments on Welcome to Danesh's Atlas Blog: Mapping Elections - Malaysian StyleDanesh Chackohttp://www.blogger.com/profile/07064499148448339604noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-5985879052160424627.post-49781809640689696412016-05-09T15:17:27.845+10:002016-05-09T15:17:27.845+10:00Good work, Kat.Good work, Kat.Jaya Thindhttps://www.blogger.com/profile/12482669566341595044noreply@blogger.comtag:blogger.com,1999:blog-5985879052160424627.post-80498629101356414362016-05-02T13:40:14.387+10:002016-05-02T13:40:14.387+10:00Thanks Fu Xuanming for your positive comment. Coul...Thanks Fu Xuanming for your positive comment. Could you explain bit more on the procedures you mentioned?Danesh Chackohttps://www.blogger.com/profile/07064499148448339604noreply@blogger.comtag:blogger.com,1999:blog-5985879052160424627.post-66555911908056283872016-05-02T04:29:26.151+10:002016-05-02T04:29:26.151+10:00What a innovative idea to applied GIS on political...What a innovative idea to applied GIS on political analysis, the post looks great! From my perspective, since you have successfully illustrate the area where one candidate have high approval ratings, we can identify other area where can provide similar environment for the candidate with similarity search in GIS.<br /><br />Probably, we can compute the compact index or shape_area of each unit and combined this spatial attribute to conventional similarity search (which based on attribute table only), so that probably you can have a rough estimate on which city should the candidate focus on.Anonymoushttps://www.blogger.com/profile/13471889093598836504noreply@blogger.com