#geomap

[bmoreblockbyblock]

I really want to make maps like these for my Baltimore blocks!

[dhannywi]

Google Map from geocoded data

As part of the Databases and Visualization project for the Python for Everybody Specialization, I used the Google GeoCoding API to retrieve data, clean up some user-entered geographic locations and then use Google Maps to visualize the data.

The map shows the various locations Python for Everybody students are from, with USA, Europe and India as the top three location.

» view project

[quosphereitservices]

GIS | Locations Map | Geo Analytics Solutions Company in Navi Mumbai

Data is the power source for all business decisions. There are myriad types of useful data available using traditional reporting and analytics tools. The only possibility to visualize it and understand its relation better with any given location map, can give your business a whole new competitive edge.

At Quosphere, we work with you on the information journey, which will help you take the perfect business decisions in the face of complex problems.

For more details: www.quosphere.com

Follow us on social medias:

https://www.facebook.com/Quosphere

https://www.linkedin.com/company/quosphere/

https://twitter.com/quospherein

[todayispythonday-blog]

031117: Website up!!

https://langur.herokuapp.com/

i’m like shedding tears of happiness lol

also, check out a map i plotted (anonymous data).

https://langur.herokuapp.com/time/

some pretty crazy stuff going on!!

[stalkinpeace]

SiP SiP SiP

[daniellesteenbrink]

https://geoguessr.com/world/play

[awesome-r-graphics-blog-blog]

library(GEOmap) library(geomapdata) data(volcano) colk1 = 50 colk2 = 210 colk3 = 220 colk4 = 250 BWpal2 = list(z1=c(-3000, 0, 2000, 3500), r1=c(0,colk1, colk3, colk4), g1=c(0,colk1, colk3, colk4), b1=c(0,colk1, colk3, colk4), z2=c(0, 2000, 3500, 5000), r2=c(0,colk2,colk4,255), g2=c(0,colk2,colk4,255), b2=c(0,colk2,colk4,255), note=c("black, black", "grey, grey", "white, white", "white, white")) MYCOLL = TOPOCOL(volcano, BWpal2) z <- 2 * volcano x <- 10 * (1:nrow(z)) y <- 10 * (1:ncol(z)) calcol=settopocol() MYCOLL = TOPOCOL(volcano, calcol$calcol) Dcol = attr( MYCOLL , "Dcol") K <- 8 *volcano MYCOLL = TOPOCOL(K, calcol$calcol) persp(x, y, z, theta = 135, phi = 30, col = MYCOLL[1:(Dcol[1]-1), 1:(Dcol[2]-1)], scale = FALSE, ltheta = -120, shade = 0.75, border = NA, box = FALSE)

[awesome-r-graphics-blog-blog]

library(GEOmap) library(geomapdata) data(volcano) colk1 = 50 colk2 = 210 colk3 = 220 colk4 = 250 BWpal2 = list(z1=c(-3000, 0, 2000, 3500), r1=c(0,colk1, colk3, colk4), g1=c(0,colk1, colk3, colk4), b1=c(0,colk1, colk3, colk4), z2=c(0, 2000, 3500, 5000), r2=c(0,colk2,colk4,255), g2=c(0,colk2,colk4,255), b2=c(0,colk2,colk4,255), note=c("black, black", "grey, grey", "white, white", "white, white")) MYCOLL = TOPOCOL(volcano, BWpal2) z <- 2 * volcano x <- 10 * (1:nrow(z)) y <- 10 * (1:ncol(z)) par(bg = "slategray") Dcol = attr( MYCOLL , "Dcol") persp(x, y, z, theta = 135, phi = 30, col = MYCOLL[1:(Dcol[1]-1), 1:(Dcol[2]-1)], scale = FALSE, ltheta = -120, shade = 0.75, border = NA, box = FALSE)