seen from Germany
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I really want to make maps like these for my Baltimore blocks!
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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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
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
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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!!
SiP SiP SiP
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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https://geoguessr.com/world/play
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)
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)
