Your Cart

Your cart is empty

Home  >  Volume 46 (May, 2018)

20. APPLICATION OF K- CLUSTER ANALYSIS ON REGIONAL TEMPERATURE IN NIGERIA by Ehimony James Babatunde and Aibe Joseph Ndayebom Volume 46 (May, 2018 Issue), pp155 –160
Sale price: $5.00
Quantity:

APPLICATION OF K- CLUSTER ANALYSIS ON REGIONAL TEMPERATURE IN NIGERIA


Ehimony James Babatunde1 and Aibe Joseph Ndayebom2


Department of Statistics, Kogi State Polytechnic Lokoja

Kogi State Teaching Service Board Lokoja.


Abstract

Nigeria is located in a tropical region with a latitude 40 to 140 North of the equator and longitude 30 to 150 East of GMT and its extends to the western coast of Africa. Nigeria is dividing into four regions namely: Coaster region, Guinea savanna, Mid-land region and Sahel savanna. These regions were heterogeneous in nature; the distance between the Sahel to Coaster regions is 690km at latitude of 1200N; from Sahel region to Mid-land (Eastern) region is 570km at latitude 1200N. Also the average distance between Sahel regions to Guinea savanna is 350km at latitude 1200N. The nearest neighbor analysis signal out twenty one (21) clustering points as extreme temperature from Sahel savanna at 34.4% and thirty two (32) clustering points for the three regions at 65.6%.The hierarchical clustering show that the average temperature in each region was not same, due to heterogeneous nature of average temperature experience in each region. The clustering   process as help to determine the geometry angle between 00 ≤θ≤360. But frequency domain in the regions forms an angle between 00 and 1200, the Sahel savanna and Coaster region having the more relative frequency domain.


Keyword:  Cluster, Neighbor analysis, Latitude, Geometry, heterogeneous, temperature

click here to download full Abstract
Close
Loading...