Incentive systems are features with the aim to motivate user to use Noisemap and increase data quantity. But some of them also influence data quality.
Statistics give a complete feedback of user's measurement behaviour.
- # Data
- ...
- # Series
- ...
- Total time
- ...
- Total distance
- ...
- Avg. Speed
- ...
- Bonus Areas
- ...
- Exploration factor
- ...
- Daytime behaviour
- ... + graph sample
Achievements are level-based honours for specific measurement behaviour of users.
@todo: generate from database
|
Expert |
Traveler |
Routinier |
Follower |
| Description |
# data |
distance |
# consecutive days |
# data within bonus area |
|
> 100 |
> 1000m |
> 2d |
> 50 |
|
... |
|
|
|
Badges are unique honours for special measurement activities.
@todo: generate from database
| Badge |
Name |
Description |
 |
Newbie |
First measurement series |
|
Tourist |
Visit more than two countries |
|
... |
... |
Measurement data will be rewarded by points. These points are used for temporal (cf. global ranking) and
location-based (cf. Titles) ranking.
Data points
P = 1 + 1
Series points
P = 1 + 1
Exploration factor
P = 1 + 1
Bonus Area multiplier
P = 1 + 1
Accuracy factor
P = 1 + 1
The ranking shows the best global "Noisemappers" in a specific time range.
- Criterium
- Points (descending)
- Time range
- Total
- Monthly
- Weekly
- Daily
- Location
- Worldwide
Titles are location-based incentive ranking system, i.e. users get points for specific locality (e.g. countries, cities) when they measured inside the corresponding locality.
The best "Noisemappers" of a locality obtain a special title (e.g. Mayor, President).
- Criterium
- Points (descending)
- Ranking
- Top 5
- Locality
- World
- Continents
- Countries
- Cities with more than 100.000 inhabitants
|
World |
Continent |
Country |
City (> 100.000 pop.) |
| Available Title |
God |
? |
President,
Vice-President |
Mayor |
| Polygon Coverage |
100% |
100% |
100% |
92% |
Polygon data based on OSM:
Locality hierarchy, capitals, population based on
Bonus areas are pre-defined circular areas. If a user measures inside these areas, his points for the measurement data will be multiplied with a specific factor defining by the bonus area.