Point-like natural disaster phenomena

such as earthquakes

landslides

etc.

have complex linkages and interactions with their surrounding geographical environment. Disaster environment on the disaster may enlarge or reduce effect. In the process of cartographic generalization

only considering a single point of individual disasters is not enough. Based on Geography and Cartography

but from the perspective of a disaster system

the applicability issues of automatic generalization of point phenomena are explored by combing the layer constraint (LC) and Fuzzy Inference System (FIS). A landslide-disaster automatic-generalization technology

based on LC and FIS

is discussed. Taking landslides as an example

an automated comprehensive application of the constraint layers

including landslide hazard zoning

terrain slope

landform regionalization

long-term seismic intensity zoning

annual torrential rain days

and annual precipitation was developed. The experiment results showed that there are three key landslide areas in China

which are the eastern slope of the Qinghai-Tibet Plateau

the Loess Plateau

and the Taihang Mountain landslide area

Wushan-Wuling Mountain Area landslide. Our research can provide an effective way for automatic generalization of natural disaster risk maps under the constraints of multi-scales and multi-layers. It can also provide a more efficient

more accurate decision-making support and technical support for disaster risk management of different regional scales.