Risk Management/User-driven spatial activities/collect information

In this learning resource we consider the data collection that is connected to current geolocation of mobile device users. The ubiquity of mobile devices allows the application spatial crowdsourcing as a problem solving strategy to collect data that has a local or regional relevance and to provide a benefit by spatial decision support for the users that provided the data is mapping.

Learning Task

 * Explore the plattform Humanitarian Open Street Map Team as a platform, enabling spatial tasks (i.e., tasks related to a location) assigned to and performed by human workers for a humanitarian purpose. In this learning task, you are introduced to existing projects for spatial crowdsourcing. Spatial crowd sourcing in the humanitarian context could be the map of a bus network . Check out other project for risk mitigation of Humanitarian Open Street Map Team.
 * Top learn some techical skill to attached information to a geolocation it is a basic operation that users can select a geolocation in an interactive way on the map. Subsequently, we focus on small open source packages first, that allow to perform this task . This concept uses Open Street Map as an open source of Geo data and OpenLayers.
 * analyse the OpenLayers Location Selector (see Selection Click and Map Click with Callback URL and
 * create data collection scenario for data you want to attach the geolocation
 * next will be milestone to learn how workers can send their locations to a centralized server and thereafter the server provides aggregate and processed data for decision support back to the workers and assign next task that are nearby. The task management supports an optimized mapping activity in a team.