{"id":{"repo_id":"mo-state","oai_identifier":"oai:bearworks.missouristate.edu:theses-1797"},"canonical_url":"https://search.dev.ndltd.org/etd/mo-state/oai:bearworks.missouristate.edu:theses-1797","repository":{"repo_id":"mo-state","name":"Missouri State University","base_url":"https://bearworks.missouristate.edu/do/oai/"},"display":{"title":"A Statistical Analysis of Doline Characteristics in the Brookline Quadrangle, Missouri","abstract":"Dolines, known commonly as \"sinkholes,\" are common karst features in and around Springfield, Greene County, Missouri. While many studies on karst features have been conducted in Greene County, none have focused on the Brookline Quadrangle, located just west of Springfield. This study focused on the relationships between doline location and various physiographic factors. Six hundred seventeen dolines were located and mapped in the area, which were shown to be clustered by means of a quadrat analysis statistical test. Reasons for this clustering (influence of bedrock type, influence of elevation, and influence of lineaments) are discussed and evaluated. In addition, chi-square analyses were used to determine the relatedness between various doline and physiographic factors, and a multiple-regression analysis was used to determine the relationship between the length and width of dolines and their depth.","abstract_html":"Dolines, known commonly as "sinkholes," are common karst features in and around Springfield, Greene County, Missouri. While many studies on karst features have been conducted in Greene County, none have focused on the Brookline Quadrangle, located just west of Springfield. This study focused on the relationships between doline location and various physiographic factors. Six hundred seventeen dolines were located and mapped in the area, which were shown to be clustered by means of a quadrat analysis statistical test. Reasons for this clustering (influence of bedrock type, influence of elevation, and influence of lineaments) are discussed and evaluated. In addition, chi-square analyses were used to determine the relatedness between various doline and physiographic factors, and a multiple-regression analysis was used to determine the relationship between the length and width of dolines and their depth.","abstract_has_math":false,"creators":["Randall, Anthony S."],"institution":null,"degree_name":"Master of Science in Geospatial Sciences","degree_level":"Masters","degree_discipline":"Geography, Geology, and Planning","degree_department":null,"school":null,"contributors":["Kenneth Thomson"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1990,"date_issued":"1990-07-01T07:00:00Z","date_published":"1990-07-01T07:00:00Z","updated_at":"2026-07-24T03:15:54Z","subjects":["Earth Sciences"],"languages":[],"rights":["© Anthony S Randall"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://bearworks.missouristate.edu/theses/796","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kenneth Thomson"]},{"key":"dc:creator","label":"Author","values":["Randall, Anthony S."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Geography, Geology, and Planning"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Geospatial Sciences"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Earth Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["© Anthony S Randall"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://bearworks.missouristate.edu/theses/796"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Dolines, known commonly as \"sinkholes,\" are common karst features in and around Springfield, Greene County, Missouri. While many studies on karst features have been conducted in Greene County, none have focused on the Brookline Quadrangle, located just west of Springfield. This study focused on the relationships between doline location and various physiographic factors. Six hundred seventeen dolines were located and mapped in the area, which were shown to be clustered by means of a quadrat analysis statistical test. Reasons for this clustering (influence of bedrock type, influence of elevation, and influence of lineaments) are discussed and evaluated. In addition, chi-square analyses were used to determine the relatedness between various doline and physiographic factors, and a multiple-regression analysis was used to determine the relationship between the length and width of dolines and their depth."]},{"key":"dc:title","label":"Title","values":["A Statistical Analysis of Doline Characteristics in the Brookline Quadrangle, Missouri"]}]}],"canonical_facts":{"dc:contributor":["Kenneth Thomson"],"dc:creator":["Randall, Anthony S."],"dc:description.abstract":["Dolines, known commonly as \"sinkholes,\" are common karst features in and around Springfield, Greene County, Missouri. While many studies on karst features have been conducted in Greene County, none have focused on the Brookline Quadrangle, located just west of Springfield. This study focused on the relationships between doline location and various physiographic factors. Six hundred seventeen dolines were located and mapped in the area, which were shown to be clustered by means of a quadrat analysis statistical test. Reasons for this clustering (influence of bedrock type, influence of elevation, and influence of lineaments) are discussed and evaluated. In addition, chi-square analyses were used to determine the relatedness between various doline and physiographic factors, and a multiple-regression analysis was used to determine the relationship between the length and width of dolines and their depth."],"dc:identifier":["https://bearworks.missouristate.edu/theses/796"],"dc:rights":["© Anthony S Randall"],"dc:subject":["Earth Sciences"],"dc:title":["A Statistical Analysis of Doline Characteristics in the Brookline Quadrangle, Missouri"],"thesis:degree_discipline":["Geography, Geology, and Planning"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science in Geospatial Sciences"]},"updated_at":"2026-07-24T03:15:54Z"}