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Tourism is a social, cultural and economic phenomenon which entails the movement of people to countries or places outside their usual environment for personal or business/professional purposes. These people are called visitors (which may be either tourists or excursionists; residents or non-residents) and tourism has to do with their activities, some of which involve tourism expenditure.

Tourism planning refers to the integrated planning of attraction (i.e., natural, cultural, man-made), service (e.g., accommodation, restaurants, shops, visitor information, tour and travel operations, money exchange, medical facilities, postal services etc.), and transportation facilities (i.e., both material infrastructure and transportation services), here also referred to as „tourism infrastructure“

Jovanović, Verka & Njeguš, Angelina. (2008). The Application of GIS and its component in Tourism. Yugoslav journal of operations research. 18. 261-272. 10.2298/YJOR0802261J.


Mapping is an asset for tourism and Tourist Attraction. Tourists rely on maps and other GIS applications. Geographical Information System (GIS) technologies provide us with unlimited possibilities, from finding our way around the world, planning and executing the visit in a real time environment.

GIS operates on two data elements: spatial and attribute data. Spatial or geographical data refers to a known location on the Earth’s surface. Some of the application of GIS in Tourism include: Tourism Maps, Subway Maps, Off-Beaten Tracks, Safe Travel, Tourism Dollars, Hotel Search and Booking, Sustainable Planning, Geo-tagging, 3D synthetic Scene, Trip Palnning, View/Observer Points.

At Map & Allied we help you with:

  1. Creation of Spatial Database
    • Acquisition of graphical maps covering the Region;
    • Converting the paper maps into digital maps by digitizing;
    • Creation of topology to establish relationships between the map features;
    • Transformation into real world coordinates.
  1. GIS and Network Analysis
    • Database Query
    • Overlay
    • Proximity analysis
    • Network analysis
    • Digital Terrain Model
    • Statistical and Tabular Analysis