Visualizing Dense Areas in cartesian plane
2 次查看(过去 30 天)
显示 更早的评论
I have a table that contains x, y coordinates (cartesian)of a large number of points. X coordinates are stored in a column called sp_x and corresponding y coordinates are stored in the column named 'sp_y'.
I download these data to matlab (please see the following coding) and assign x, y values to a matrix called xy. Now I want to see the dense areas (areas where the point density is high). Does anybody know a way to do this? pls help.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
curs1 = exec(conn, 'select sp_x, sp_y from road_part6_trajectories_oneway2_new_segments_cartesian2');
format long;
curs1 = fetch(curs1);
r=rows(curs1);
AA = curs1.Data;
x = [AA{:,1}]';
y = [AA{:,2}]';
for i=1:5
xy(i,1)=x(i);
xy(i,2)=y(i);
end;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
0 个评论
采纳的回答
Walter Roberson
2011-10-16
xpnts = 100; %set as desired
ypnts = 100; %set as desired
minx = min(x);
miny = min(y);
scalex = xpnts ./ (max(x) - minx);
scaley = ypnts ./ (max(y) - miny);
scaledx = 1 + floor(x-minx) * scalex;
scaledy = 1 + floor(y-miny) * scaley;
densemap = accumarray([scaledx(:),scaledy(:)],1);
imagesc(densemap);
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Interpolating Gridded Data 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!