industryterm:web maps

Doctorcrowd • purestform : Visual clutter remains a challenge...
▻http://doctorcrowd.tumblr.com/post/146446164832/purestform-visual-clutter-remains-a-challenge

http://65.media.tumblr.com/8e8306512b38f506ec4e6cdd85c7b52b/tumblr_o61fzuy3l21qzjoreo1_1280.jpg

Visual clutter remains a challenge in cartography, especially for web maps depicting voluminous, unfiltered collections of point type data. This issue is particularly prevalent in datasets generated in cities due to urban density. Professor Andrew Vande Moere and myself developed BinSq (abbreviated Bin2), a novel gridded dot density mapping technique to overcome this challenge. We demonstrate this technique on a large dataset of language referenced, geotagged tweets to reveal language communities in Brussels. The figure above compares our technique to the [a] standard dot map and six related solutions namely: [b] jittering, [c] refinement, [d] distortion with pixel map as well as [e] aggregation with categorical binning, [f] splatter plot and [g] dot density map. Our output is depicted in [h]. An implementation of BinSq in Java is avaliable on GitHub. Read our paper for a complete description of the technique.

▻https://github.com/alvincyh/BinSq
#cartographie #pointillisme #méthodologie #bins

Using OpenStreetMap Data with Open-Source GIS | Markieta | Cartographic Perspectives

▻http://cartoperspectives.org/index.php/journal/article/view/cp71-markieta/138

INTRODUCTION

For many, free and open-source data and software represents accessibility to otherwise inaccessible geospatial workflows in terms of cost and availability. Commercial data used in geographic information systems (GIS) is available through a relatively small number of merchants or vendors, which produce highly accurate, precise, and detailed information. This is produced, however, at a cost that many small and large businesses, private consultants, and startups cannot afford. Open-source data, such as the volunteer geographic information on OpenStreetMap (OSM), represents a community effort to build one of the best web maps, and subsequently the best GIS database, available for free to the public. OpenStreetMap is a web-based map to which any registered user can submit data. These updates, over time, populate the now extensive web map that is the OpenStreetMap. At the same time, the data that lives on the OpenStreetMap can be downloaded and used inside of a GIS for geospatial analysis, cartographic rendering, and other geo-related tasks.

There are various workflows for extracting and consuming the data that is made available by the OpenStreetMap project. One of these methods is outlined in this tutorial. This tutorial will take Mac OSX users through a typical setup of a local PostgreSQL database, downloading and parsing raw OpenStreetMap data, and querying the database to extract data for use in QGIS, an open-source GIS package. Upon completing this tutorial, users will have hit the ground running, with the ability to run spatial queries—such as locating all the coffee shops within 500 metres of a subway station—or building cartographically pleasing reference map books with data that is of interest to the map reader.
THIS TUTORIAL WILL COVER THE FOLLOWING:

Access and browse an OSM data repositories
Download a subset (often called an “extract”) of the planet.osm data package
Install PostgreSQL (object-relational database system)
Install PostGIS for use with PostgreSQL (spatial database extension for PostgreSQL)
Install and utilize osm2pgsql (converts OSM data for use in the PostgreSQL database)
Install QGIS and its dependencies (GIS package)
Query and add data in QGIS from PostGIS/PostgreSQL

#qgis #gis #osm #logiciels_libres #cartographie

D3 web maps for static cartography production | Axis Maps Blog
▻http://www.axismaps.com/blog/2015/09/d3-web-maps-for-static-cartography-production

http://www.axismaps.com/blog/wp-content/uploads/2015/09/d3-static-map.jpg

Here’s a shot of the tool. It looks rough, certainly, but it does its job: quickly get a country map as close as possible to final form, ready to be dropped into our Illustrator and InDesign templates.

#cartographie #D3 #atlas

Turf: GIS for web maps | Mapbox
▻https://www.mapbox.com/blog/turf-gis-for-web-maps

#Turf is #GIS for web maps. It’s a fast, compact, and open-source JavaScript library that implements the most common geospatial operations: buffering, contouring, triangular irregular networks (TINs), and more. Turf speaks GeoJSON natively, easily connects to #Leaflet, and is now available as a #Mapbox.js plugin

https://farm9.staticflickr.com/8625/15895133840_aba1e618e3.jpg

Scale-adaptive Web Maps

▻http://cartography.oregonstate.edu/demos/AdaptiveCompositeMapProjections

“The goal of this research is to develop web maps that take advantage of the latest web techniques, such as HTML5 Canvas and WebGL, which allow for very fast geometric manipulation and rendering of vector data on the web client. This allows us to adjust the projection of the web map to the current scale and the area displayed.”

Uun projet qui déboîte bien, la démo en vidéo sur vimeo :

▻http://vimeo.com/47482303

#map #projections #html5 #canvas #webgl