Framework of the opportunities of the GeoWeb
Map mashup | Contributory platform | Collaborative platform | |
---|---|---|---|
Objectives | |||
General | Inform people | To collect relevant data to support decision-making | To produce and update base maps and data |
Response phase | Information on the progress of the disaster, security measures (confinement, locations of emergency evacuation) | To receive the calls for help and information on affected areas and populations (number and condition of the victims, disappearances, damage extent, access for emergency services…) | Updating base maps and data for relief agencies and NGOs for emergency response |
Recovery phase | Information on the situation (missing persons, damage, contaminations), sanitary conditions (health centres, water supply), facilities and management structures (administration, associations, insurances …) | To receive requests for supply, security, health, lifeline… | Updating base maps and data for authorities and NGOs to facilitate reconstruction and development planning |
Technologies and features |
Map mashups, Web services (API) Visualization (base maps, layers) and aggregation tools |
Contribution platforms (Ushahidi), Web services (API) Crowdsource platform, filtering tools, |
Collaborative platforms (OSM, Google Map Maker, wiki, geoCMS…) |
Data | Authoritative and non-authoritative data (points, lines, zones) | Non-authoritative data (points) | Authoritative and non-authoritative data (points, lines, zones and base maps) |
Constraints |
Information flow, Visualization, Understanding the message Reliability |
Temporal emergency, Data accessibility, Fragmented data aggregation Trust, reliability |
Data quality, Interoperability, Licensed data, Liability |
Strengths |
Interoperability of systems, Cross-checking of data sources, Flexibility of platforms, Variety of contents (multimedia) Simplicity and ergonomy of interfaces |
Real time data (deployment timelines), Triangulation of sources (cross checking), Communication supports |
Crowdsourcing, Mass effect, emulation, Cost saving, Collective intelligence, |
Weaknesses |
Non-homogeneous sources, Map interface, Poor and non-homogeneous legends and graphic semiology, |
Reliability of contributory data, Complexity of the validation and qualification mechanisms |
Reliability of contributory data, Complexity of the validation and qualification mechanisms |
Opportunities |
Providing faster information to the victims, More communication media (mobile applications) |
Building a culture of participation and contribution, People’s science (citizen sensors), Local knowledge acquisition, Maintenance of the social bond (mobile application) |
Improving citizens’ spatial skills and spatial reasoning Developing alternative ways to update geospatial databases |