The land change modeling community can also benefit from Global Positioning System and Internet-enabled mobile device data distribution . Combining various structural-based data-collecting methods can improve the availability of microdata and the diversity of people that see the findings and outcomes of land change modeling projects . For example , citizen-contributed data supported the implementation of Ushahidi in Haiti after the 2010 earthquake , helping at least 4,000 disaster events . Universities , non-profit agencies , and volunteers are needed to collect information on events like this to make positive outcomes and improvements in land change modeling and land change modeling applications . Tools such as mobile devices are available to make it easier for participants to participate in collecting micro-data on agents . Google Maps uses cloud-based mapping technologies with datasets that are co-produced by the public and scientists . Examples in agriculture such as coffee farmers in Avaaj Otalo showed use of mobile phones for collecting information and as an interactive voice
2010 earthquake
2010 Haiti earthquake
Land change modeling