what is the parameter of the poisson distribution
Poisson distribution In probability theory and statistics, the Poisson distribution (French pronunciation [pwaˈsɔ̃]; in English often rendered /ˈpwɑːsɒn/), named after French mathematician Siméon Denis Poisson, is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant rate and independently of the time since the last event.[1] The Poisson distribution can also be used for the number of events in other specified intervals such as distance, area or volume.
Distribution of lightning The map on the right shows that lightning is not distributed evenly around the planet.[5] About 70% of lightning occurs on land in the Tropics, where the majority of thunderstorms occur. The North and South Poles and the areas over the oceans have the fewest lightning strikes. The place where lightning occurs most often (according to the data from 2004 to 2005) [needs updating] is near the small village of Kifuka in the mountains of eastern Democratic Republic of the Congo,[6] where the elevation is around 975 metres (3,200Â ft). This region received 158 lightning strikes per square kilometer (409 per sq mi) a year.[2]