Article of the Month - 
	  November 2022
     | 
  
		Mapping and suitability analysis of 
		existing electoral polling units in Katsina local government area of 
		Katsina State, Nigeria 
		Adamu BALA (Nigeria), Saied 
		PIRASTEH (China, PR), Yahaya Abbas ALIYU, AbdulAzeez ALIYU, Swafiyudeen 
		BAWA and Ibrahim ABDULWAHAB (Nigeria) 
		
			This article was awarded the Survey Review Prize and 
			was presented during the FIG Congress 2022 in Warsaw.  
		FIG and Survey Review have 
			decided to award a paper presented at a 
			FIG Congress/Working Week. The Survey Review prize will be awarded 
			every two years to the author and presenter of a selected paper at a 
			FIG Congress/Working Week and will be limited to submissions from 
		authors who fulfil the FIG definition of a Young Surveyor. 
		Survey Review is an international journal which has been published 
		since 1931, and in recent years under the auspices of the Commonwealth 
		Association of Surveying and Land Economy (CASLE). It has been published 
		continuously as a quarterly journal, bringing together a wide range of 
		papers on research, theory, practice and management in land and 
		engineering surveying. 
		The paper selected for the prize passes through an initial reviewing 
		and revision stage overseen by FIG, before being judged by members of 
		the Editorial Board of Survey Review. 
		This year’s winner, “Mapping and suitability analysis of existing 
		electoral polling units in Katsina local government area of Katsina 
		State, Nigeria” by Adamu Bala, Saied Pirasteh, Yahaya Abbas Aliyu, Abdul 
		Azeez Onotu Aliyu, Swafiyudeen Bawa & Ibrahim Abdulwahab.  Adamu 
		Bala 
		
		
		FIG Vice-President Diane Dumashie handing out the Surrvey Review Award 
		to Adamu Bala at the General Assembly held in Warsaw on 15 September 
		2022, together with FIG President, Rudolf Staiger. 
		
					
			
			SUMMARY
					
			
					This research examined the mapping and analyses of existing 
					polling units in the study area to provide scientific 
					criteria for citing new polling units. The attribute data of 
					the polling units were collected from the Independent 
					National Electoral Commission (INEC), Katsina State, and 
					spatial data was acquired through field observation, for 
					geodatabase creation and query generation. For the 
					suitability mapping, seven parameters criteria were adopted. 
					The generated thematic maps of these criteria were 
					standardised using the fuzzy logic approach. The geodatabase 
					of the existing polling units created showed 281 polling 
					units with their attributes. Also, the suitability map 
					showed regions of suitability and unsuitability. The overlay 
					map showed that 10 polling units were in the region of 
					highly not suitable, 16 not suitable, 26 fairly suitable, 
					then the rest were either highly suitable or suitable. It is 
					recommended that INEC should adopt a scientific method in 
					citing subsequent polling units. 
					
			
			The full paper is available to read
					here.