There are tons of points in Openstreetmap data. This should be the best source.

I also have found a bird observation data. You can get it from this source http://ebird.org/content/ebird/

Ships captains logs from these sources have global location and weather mega data

http://www.knmi.nl/cliwoc/

http://icoads.noaa.gov/maury.html

http://www.oldweather.org/

The EEA has just published this report on citizen science that may be of interest, it contains a list and a full description of different projects involving citizen as sensors and VGI data collection

http://ec.europa.eu/environment/integration/research/newsalert/pdf/IR9.pdf

In Spain there is a network of volunteered meteorological observation station. Could be useful in some cases.

http://www.meteoclimatic.com/

Hi Pau,

we are collecting differnt kinds of VGI - Twitter, Instagram, Flickr, ... I can also harvest specific data that you might need.

Please let me know whether you're open for collaboration on this matter.

[email protected]

Best,

Bernd.

UK Met Office also collect citizen weather via Google services, interesting URL

http://wow.metoffice.gov.uk/‎

And I did via NOAA service to create my own Kuwaiti weather maps

http://blog.zolnai.ca/2011/09/be-your-own-weatherman.html

Hi Pau,

You can try to contact:

www.noisetube.net - Noise pollution app and Citizen Science campaigns

http://www.dispoc.unisi.it/en/laboratori/laboratorio-dati-economici-storici-territoriali-ladest - Twitter georeferenced data

or us at: www.oii.ox.ac.uk

Claudio.

Point of interest (POI), street nodes, geolocations of tweets, and user check-ins all can be used for point pattern analysis.

Jiang B. and Jia T. (2011), Zipf's law for all the natural cities in the United States: a geospatial perspective, International Journal of Geographical Information Science, 25(8), 1269-1281.

Jiang B. (2015), Head/tail breaks for visualization of city structure and dynamics, Cities, 43, 69-77.

Jiang B. and Miao Y. (2014), The evolution of natural cities from the perspective of location-based social media, The Professional Geographer, xx(xx), xx-xx, DOI: 10.1080/00330124.2014.968886, Preprint: http://arxiv.org/abs/1401.6756