{"id":299,"date":"2021-07-04T09:58:55","date_gmt":"2021-07-04T09:58:55","guid":{"rendered":"https:\/\/ml-gis-service.com\/?page_id=299"},"modified":"2022-03-08T16:18:14","modified_gmt":"2022-03-08T16:18:14","slug":"spatial-interpolation-101","status":"publish","type":"page","link":"https:\/\/ml-gis-service.com\/index.php\/spatial-interpolation-101\/","title":{"rendered":"Spatial Interpolation 101"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"part-1-inverse-distance-weighting\">Part 1: Inverse Distance Weighting<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/ml-gis-service.com\/index.php\/2020\/11\/05\/spatial-interpolation-101-introduction-to-inverse-distance-weighting-interpolation-technique\/\" data-type=\"post\" data-id=\"64\">1.1: Introduction to Inverse Distance Weighting Interpolation Technique.<\/a><\/li><li><a href=\"https:\/\/ml-gis-service.com\/index.php\/2021\/05\/20\/spatial-interpolation-101-interpolation-of-mercury-concentrations-in-the-mediterranean-sea-with-idw-and-python\/\" data-type=\"post\" data-id=\"203\">1.2: Interpolation of Mercury Concentrations in the Mediterranean Sea with IDW and Python.<\/a><\/li><li><a href=\"https:\/\/ml-gis-service.com\/index.php\/2021\/07\/18\/spatial-interpolation-101-interpolation-in-three-dimensions-with-python-and-idw-algorithm-the-mercury-concentration-in-mediterranean-sea\/\">1.3: Interpolation in Three Dimensions with Python and IDW algorithm. The Mercury Concentration in Mediterranean Sea.<\/a><\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"part-2-variogram-and-variogram-modeling\">Part 2: Variogram and variogram modeling<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/ml-gis-service.com\/index.php\/2021\/10\/03\/spatial-interpolation-101-statistical-introduction-to-the-semivariance-concept\/\" data-type=\"post\" data-id=\"489\">2.1: Sample mean, standard deviation and confidence intervals. The foundation for the semivariance concept.<\/a><\/li><li><a href=\"https:\/\/ml-gis-service.com\/index.php\/2022\/02\/19\/spatial-interpolation-101-variance-and-dataset-dimensions\/\" data-type=\"post\" data-id=\"664\">2.2: Variance.<\/a><\/li><li>2.3: Covariance.<\/li><li>2.4: Semivariance<\/li><li>2.5: Experimental Variogram.<\/li><li>2.6: Theoretical models of semivariance.<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Part 1: Inverse Distance Weighting 1.1: Introduction to Inverse Distance Weighting Interpolation Technique. 1.2: Interpolation of Mercury Concentrations in the Mediterranean Sea with IDW and Python. 1.3: Interpolation in Three Dimensions with Python and IDW algorithm. The Mercury Concentration in Mediterranean Sea. Part 2: Variogram&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-299","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/pages\/299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/comments?post=299"}],"version-history":[{"count":9,"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/pages\/299\/revisions"}],"predecessor-version":[{"id":737,"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/pages\/299\/revisions\/737"}],"wp:attachment":[{"href":"https:\/\/ml-gis-service.com\/index.php\/wp-json\/wp\/v2\/media?parent=299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}