How can fuzzy matching be used for geospatial data matching?

Fuzzy matching lets you compare items in separate lists and join them if they're similar. You can set the Similarity Threshold to adjust the matching tolerance. merge_plus has a built-in setting for this called 'fuzzy' matching. It lets you match on strings that are similar, but not exactly the same. Mar 28, 2016 ... One of my favorite features of Sublime Text is its fuzzy search algorithm. It's blistering fast at navigating to files and functions. Apr 22, 2018 ... Per default, helm fuzzy sort will sort match candidates based on their scores as computed with helm-score-candidate-for-pattern. Dec 9, 2024 ... The fuzzy match operator is useful to match terms even when there are minor differences between the query and indexed data. This allows you to ... Jan 8, 2024 ... Fuzzy matching algorithms ... Fuzzy string matching is technique to find strings which have approximate matches. They are widely used in spell ... Aug 28, 2017 ... Fuzzy matching relates to the rules used in screening solutions which allow for non-exact matches to be identified; it is used when a firm ... Mar 27, 2006 ... A definitive version which contains slightly more efficient code, and better matching algorithms, so here it is. In addition to returning results that are exact matches (when the match ... fuzzy logic. This logic uses character and string matching as well as phonetic ... I've been working on a project to create an index of people listed in multiple data sources, locating the same people in each database by means of matching on ...