<h2>Answer: False</h2>
The longest river in the world in is the Amazon, located in South America, with a length of 6800 kilometers, compared to 6695 of the Nile River.
It is understandable that for a long time it was believed that it was the Nile. However, a few years ago the Brazilian Institute of Geography and Statistics published an investigation claiming that the Amazon is the longest river in the world.
On the other hand, the Sahara Desert itself is the largest (warm) desert in the world, <u>but</u> the Antartic Desert occupies the first place with an area of
compared to
of the Sahara.
Taking into account that the definition of desert is a place with very little or no rainfall in the year.
<h2>Therefore this is false.</h2>
Answer:
Bosa. Known as one of Italy's most picturesque villages, Bosa is set with its multicolored houses along the mouth of the river Temo, which divides it into two with its soft contours. Bosa is a fabulous village where history and modernity come together generating curiosity and fascination.
Explanation:
The best pyramid for this is the biomass pyramid. That is because they show how much ecological material can be found at each trophic level, which then can be used to model how the matter flows through the ecosystem that is being analyzed.
Answer:
tourism industry like working in a hotel or restaurant
Explanation:
Answer: Some geographic areas have obvious natural advantages that result in cluster formation. For example, proximity to a large port will attract exporting firms or areas rich in minerals will attract clusters of mining firms. In addition, there are three well-established reasons why firms choose locate in close proximity. The cost of transporting goods is reduced when firms are located close to their customers or suppliers. Input suppliers can exploit economies of scale in large clusters of downstream firms who, in turn, benefit from timely delivery and lower inventory costs.
Explanation: There are various types of clustering are that include:
^ Connectivity-based Clustering (Hierarchical clustering)
^ Centroids-based Clustering (Partitioning methods)
^ Distribution-based Clustering.
^ Density-based Clustering (Model-based methods)
^ Fuzzy Clustering.
^ Constraint-based (Supervised Clustering)