hello there
Andrea's point is probably the answer you're looking for, however, you should keep in mind that many (most?) environmental laws are driven more by politics than by the available data. Scientists do research on any number of topics (environmental or not) that have implications for our society. We (scientists) like to think that policy makers take our data and results into consideration when drafting legislation, but I would say that in my experience this rarely happens. For one, there have rarely been any federal legislators who understand science. Even the few physicians who've gone into politics seem largely to fail to understand very basic tenets of science, or at least they don't often demonstrate it with their political actions. Leaving environmental issues, for example, if politicians took science into account, there would be no discussion in any school district in the country about whether or not evolution should be taught in schools, as there are simply *NO* scientists who are qualified to have an opinion who would suggest it shouldn't. Environmental issues are not really any different.
hope that helped bye
Answer:
#3
Explanation:
Because of gravity. Gravity makes the rocks look like they are in place.
Hello! We are currently in the Orion Arm of the Milky Way.
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)
