<?xml version='1.0' encoding='UTF-8'?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">EJSS</journal-id><journal-title-group><journal-title>Eurasian Journal of Soil Science</journal-title><journal-title-abbreviation>Eurasian J Soil Sci</journal-title-abbreviation></journal-title-group><issn pub-type="epub">2147 - 4249</issn><publisher><publisher-name>Federation of Eurasian Soil Science Societies</publisher-name></publisher></journal-meta><article-meta><article-url-doi>http://ejss.fesss.org/10.18393/ejss.466424</article-url-doi><article-doi>10.18393/ejss.466424</article-doi><article-title>Spatial variability pattern and mapping of selected soil properties in hilly areas of Hindukush range northern, Pakistan</article-title><article-yazar>Munir Ahmad munirahmad089@yahoo.com</article-yazar><article-yazar>Dost Muhammad </article-yazar><article-yazar>Maria Mussarat </article-yazar><article-yazar>Muhammad Naseer </article-yazar><article-yazar>Muhammad A. Khan </article-yazar><article-yazar>Abid A. Khan </article-yazar><article-yazar>Muhammad Izhar Shafi </article-yazar><article-vol>7</article-vol><article-issue>4</article-issue><article-pages>355 - 364</article-pages><article-manuscript-submitdate>2018-02-23</article-manuscript-submitdate><article-manuscript-accepteddate>2018-09-16</article-manuscript-accepteddate><article-manuscript-articlepublisheddate>2018-09-29</article-manuscript-articlepublisheddate><article-manuscript-issuepublisheddate>2018-10-01</article-manuscript-issuepublisheddate><article-copyright> Copyright © 2016 The authors and Federation of Eurasian Soil Science Societies </article-copyright><article-abstract>Soil samples at 0-20 cm depth were collected from major crop areas of Hindukush mountainous range, District Chitral, extreme Northwestern Pakistan, during April 2014 to assess their physico-chemical properties and spatial distribution pattern. 103 soil samples were analyzed and maps were created by geostatistical technique of inverse distance weighting and kriging techniques using GIS and GS win-7 computer software. The soil texture ranged from silt loam to dominantly sandy loam, slightly acidic to alkaline and moderate to highly calcareous but with no salinity indication. Soil organic matter was higher than 2 % in about 75 % of samples. Soil pH, EC and lime showed slight dependence on each other with r values from 0.4 to 0.5 while OM varied independently as indicated by their lower correlation values. Semivariogram analysis showed that soil pH, lime, OM had strong spatial dependence (nugget-sill ratio, </article-abstract><article-keywords>Spatial variability, soil mapping, kriging, Chitral district, geostatistics.</article-keywords></article-meta></front></article>