1. Previously collected data from the area
Due to the special situation of Africa humanitarian organizations, like Red Cross, often suffer deficiency of essential information that would adequately describe the spatial
distribution of populations in the area, the settlement pattern or the road network. The visualized spatial connectivity can help to understand the trends, and so on. Useful, but mainly help the office decisions.
1.1. Population distribution databases
„Gridded Population of the World (GPW)”, and the „Global Rural Urban Mapping Project (GRUMP)”, Wordpop, LandScan), census, etc.
1.2. Land cover datasets
The human and natural alteration of land cover can give important signals for us. First of all, land cover plays a very important role in regulating biogeochemical cycles, thus affecting the climate system. Moreover, the
human alteration of land cover may be suitable for determining the impact of human society on Earth, the spatial location of human habitations, and it changes in time. With possession of spatial extents, we are able to
calculate the population and/or predict future demographic data and the direction of human activity. For example: Global Land Cover (GLC), GLOBCOVER 2005 and 2009, or Global Land Survey, GLS
Road network, water network (permanent and/or temporary), weather data, etc.
Potential problem: the data is not up to date, example:
- UN - division Sierra Leone: calculated and predicted population for 2020 is 7,160,000
- preliminary 2015 census data: 7,075,641
Yes, a bit undercalculated....