I do not know ArcPy, but I work with shapefiles and raster in Python for years
For processing shapefiles in Python, there are many modules like osgeo/ogr, Fiona, Pysal or Pyshp (shpUtils is one of them and
not the most used), and others, see Pypi: GIS and examples on gis.stackexchange and many examples on the Web (not only in English). Most of them are much ...
In Tomtom data for example, you have an attribute called frc that can be used to classify roads. The following setup will create a GoogleMaps-style roadmap with different styles for different zoom levels.
I've worked out a solution for Google-like labeling too, this time based on OSM data: http://underdark.wordpress.com/2011/09/13/guide-to-advanced-labeling-...
I'm Leaflet author. There's an awesome clustering plugin for this, Leaflet.markercluster. It's very fast and efficient (take a look at 50k markers example), looks and works very smoothly with nice animations, and has lots of options to suit to your needs.
Indeed there is! Look here for how to achieve it with the Add Delimited Text Layer plugin.
Essentially you create a CSV file (although you should use a delimiter other than comma), where one column is the WKT representation of your geometry. Then when you select that file in the plugin, it picks up that there is a WKT column, and does the right thing.
I'm a little late to the party but here is another suggestion: http://potree.org/
It's an open souce, WebGL based point cloud viewer I've been working on for quite a while.
== UPDATE ==
It can render large amounts of colored point clouds. LIDAR data without colors will be supported soon.
Source code: https://github....
Short answer: you can get it using a custom SVG. See bottom of this post for one.
I believe it is better to represent it than to modify the line geometry. Should you want to move an edge or do other actions on the geometry, it would be a nightmare to manage if the wiggles are part of the geometry instead of just a representation of a straight ...
SimCity actually has the inbuilt ability to import USGS DEM data into it to use as a real-life terrain.
Of course if you use FME then you can create a USGS DEM out of almost anything, so you could get a custom SimCity landscape using any terrain data you have lying around.
I propose a solution using PyQGIS. It should work both for Linestring and MultiLineString layers.
This solution is based on the creation of semicircular rings, so you need to set a value for the diameter (i.e. the step variable in the code below). The step you choose won't be the real step used because it is adjusted on the basis of the line length (but it ...
You Can use ogr2ogr. Simplest to install it would be to download fwTools.
the following command will do
ogr2ogr -f "GeoJSON" E:\lakes.geojson e:\lakes.gml
Else if you have QuantumGIS, you can add your GML layer to map and by Right-Clicking the Layer, Select Save As to GeoJSON format.
Social Networking Map (FaceBook) created using Apache Hive
(500 million connections)
"in R, an open-source statistics environment. As a sanity check, I plotted points at some of the latitude and longitude coordinates."
I've had similar problems where I want to visualize shapefiles quickly, and I've always found the Matplotlib way quite a lengthy way to accomplish such a small task. Instead I developed the "Python Geographic Visualizer" module, or GeoVis for short. Update: v0.2.0 is now out with lots of new functionality.
With it visualizing shapefiles couldn't be easier:
1) For a full 3D GIS, the better is GRASS GIS, look at Screenshots of 3D data management or From drone-aerial pictures to DEM and ORTHOPHOTO: the case of Caldonazzo's castle, from example.
Some examples (interactive: you can scale, rotate the representation and many other things) :
DEM with 3D points:
Draped raster on the DEM
Draped geological map with ...
You can use TileMill and render points as raster images, with fast interactivity from UTFGrid. It scales to millions of points and polygons, like this census map, since it intelligently sends only the data needed for specific areas, exactly when it's needed.
As far as I know, there are no other fast methods for doing this other than having a very fast WFS ...
Note: the following was edited following whuber's comment
You might want to adopt a Monte Carlo approach. Here's a simple example. Assume you want to determine if the distribution of crime events A is statistically similar to that of B, you could compare the statistic between A and B events to an empirical distribution of such measure for randomly ...
When I worked at Microsoft Aces Studios (the makers of MS Flight Simulator and Train Simulator) we had a huge GIS pipeline that drove all of the content. You would be surprised how good some content looked after you dropped decent elevation data. I was personally surprised to find out how many people sold GIS data as Flightsim extensions.
I came across a number of tutorials dealing with this topic that I wanted to share:
So You’d Like To Make a Map Using Python - Stephan Hügel
How to Make a US County Thematic Map Using Free Tools - Nathan Yau
A Thematic Map in Python - Daniel Lewis
Creating Map Visualizations in <10 lines of Python - Rob Story
You might also consider using R: How to ...
It is very straightforward - but you won't get a set of automatic styles for each level. Under 'style', in 'symbol layer type', select a 'line pattern fill':
Add more symbol layers (the green + button in the image above) with line layers at different angles to get crosshatching:
To replicate the map you showed as an example, you'll want to do a 'graduated' ...
I love the Chinese equivalnt of Google Maps - http://map.baidu.com/
It certainly looks like Sim City..
Have a look at some Shanghai skyscrapers
Also path finding algorithms for games and GIS work in the same way.
I'd have to guess that the bottom one was done in some form of Microsoft Visio - which of course is not free. Here are some of those shapes from Visio 2010 that I just found on my install, and they look very similar to the graphic you show:
I have used InkScape for making all sorts of technical diagrams, posters, and flyers. It's completely FOSS, and if you ...
There are benefits and drawbacks to each way of doing it. To make a long story short, I would recommend creating "bins."
A couple of notes to help you choose, and about designing choropleths in general:
A direct mapping of data value to color (an 'unclassed' map) could be considered the most accurate way to display the data, however classified maps (maps ...
You might be interested in my slides from a SXSW panel on geotemporal visualization. While they don't cover every single approach, they do a pretty good job of offering examples for the most common approaches (note that many of these examples require a browser with SVG or Canvas support, so not IE<9):
Showing time as a line on a map
Showing time as map ...
I have two relevant examples to provide and a dedicated page on globaia :
1) There is a submarine cable map with some interactivity. Tha ability to select a cable and change alpha to unselected items is interesting in term of visualization. Some more explanations regarding this map here. The graphical semiology makes me think to subway maps.
2 ) An HTML5 ...
The Global Dependency Explorer is an interesting non-spatial visualization of trade (or connectivity) in the world. It requires Chrome or Safari to browse, unfortunately, and appears a little out of date as there is a server-error showing up in one frame.
I propose an approach that only recurs to a geometry generator and a custom function.
Before starting, I want to underline that I will focus the attention on the explanation of the minimal things to do for reproducing the desired result: this means that some other minor parameters (like sizes, widths and so on) should be easily adjusted by you for better ...
I saw a demonstration of the TopoMC program for MineCraft at the OSGEO-PDX conference back in April. It is a loose collection of Python programs that will import USGS data into Minecraft.
Here is a thread describing the project:
And here is the Git-Hub ...