A Method for Spatial Data Registration Based on PCA-ICP Algorithm

The chapter brings out a brief note on the tourist attractions, hotels and lodges, NGOs/travel agencies operating in that region, railway/bus stations, land use profile, etc. in the Sundarban area of West Bengal in conjunction with exploring the potential of ecotourism using GIS and some secondary source data. Moving onto the analysis part, by making use of geo-spatial data, the attributes of ecotourism potential in the Sundarbans has been explored. The author makes use of the Euclidean distance mechanism and principal component analysis to rank the ecotourism sites in Sunderbans (i.e., based on the construction of ecotourism potential index [EPI]). The novelty of the chapter lies in comparing the ranks obtained by constructing the EPI following the principal component analysis and the Euclidean distance function. It needs to be mentioned here that these tourist spots have been selected based on the information collected on the inflow of both domestic and foreign tourists to these spots. The chapter concludes by discussing the future scope of research in this regard.

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Principal component analysis of data from laser scanning flow cytometry

2011 International Workshop on Biophotonics ◽

10.1109/iwbp.2011.5954825 ◽

2011 ◽

Author(s):

A. Palucci ◽

V. Spizzichino ◽

F. Angelini

Keyword(s):

Principal Component Analysis ◽

Flow Cytometry ◽

Laser Scanning ◽

Principal Component ◽

Component Analysis

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Reigniting GIS's Application in Ecotourism

GIS Applications in the Tourism and Hospitality Industry - Advances in Hospitality, Tourism, and the Services Industry ◽

10.4018/978-1-5225-5088-4.ch005 ◽

2018 ◽

pp. 98-115

Author(s):

Sovik Mukherjee

Keyword(s):

Principal Component Analysis ◽

Spatial Data ◽

Euclidean Distance ◽

Principal Component ◽

Component Analysis ◽

Secondary Source ◽

Tourist Attractions ◽

Potential Index ◽

Travel Agencies ◽

Euclidean Distance Function

The chapter brings out a brief note on the tourist attractions, hotels and lodges, NGOs/travel agencies operating in that region, railway/bus stations, land use profile, etc. in the Sundarban area of West Bengal in conjunction with exploring the potential of ecotourism using GIS and some secondary source data. Moving onto the analysis part, by making use of geo-spatial data, the attributes of ecotourism potential in the Sundarbans has been explored. The author makes use of the Euclidean distance mechanism and principal component analysis to rank the ecotourism sites in Sunderbans (i.e., based on the construction of ecotourism potential index [EPI]). The novelty of the chapter lies in comparing the ranks obtained by constructing the EPI following the principal component analysis and the Euclidean distance function. It needs to be mentioned here that these tourist spots have been selected based on the information collected on the inflow of both domestic and foreign tourists to these spots. The chapter concludes by discussing the future scope of research in this regard.

Download Full-text