New sciences have greatly contributed in improving analysis processes and
subsequently lead to better understanding of the future. The more knowledge and
information are available, the better planning process will be. Furthermore, better data
lead
s to better decision-making. This is the basis of Geographic Information System (GIS).
Due to its great ability in processing and analyzing extensive and various amount of spatial
data, GIS has solved many obstacles in the research field since it was first launched.
GIS plays an important role in the field of tourism planning as it contributes in
developing new applications that serve modern touristic.
In this research paper, GIS will be used to build an effective system that will improve
touristic planning in Lattakia governorate. A spatial database will be created, that includes
the most prominent touristic places in the city, such as restaurants, hotels, religious and
historical sites.etc.
Each of the touristic attractions will be evaluated, and then a tool , created in GIS
environment, will be used for weighting roads network, in order to determine the touristic
weight for each path in roads network.
The soil water erosion risk is one of the most important problems and
challenges facing the agricultural process in the Syrian coast today. The aim
of this study was to determine the spatial distribution of dangerous areas of
water erosion in the
basin of the Mrqyieh River using CORINE model. To
achieve this objective, the first phase of the study was to evaluate the soil
erosion viability based on soil characteristics (soil texture, soil depth and
percentage of stones); these properties were classified according to their
influence degree on soil erosion. The potential risk erosion map was based
on crossing all information obtained from soil erodibility, erosivity index
and the degree of slope at study area by using GIS technologies. The land
cover map of the study was produced and classified to two classes
depending on soil protection degree. Then, an actual risk map of soil erosion
was prepared after crossing land cover and potential risk erosion classes of
study sites. This study showed that 14.8% of the studied area facing high
risk of soil erosion, while the soil risk was moderate in 40.4% and low in
44.8% of the study area. The highly risked erosion area was located in the
center, northern and northwest parts of the study area. Moreover, the study
confirmed that the land cover is the most influential factor on soil water
erosion. The results showed that the Corine model for soil water erosion
mapping is a highly effective and cost-effective approach
