{"id":2886,"date":"2024-03-07T12:57:48","date_gmt":"2024-03-07T17:57:48","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-291\/?p=2886"},"modified":"2024-03-07T17:06:02","modified_gmt":"2024-03-07T22:06:02","slug":"week-6","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2024\/03\/07\/week-6\/","title":{"rendered":"week 6"},"content":{"rendered":"<p>Chapter 9<\/p>\n<p>9.1 &#8211; Explored the utilization of buffers for proximity analysis, involving operations such as running the pairwise buffer tool, selecting block centroids within buffers, and aggregating population data.<\/p>\n<p>9.2 &#8211; Learned the intricacies of creating and implementing multiple-ring buffers and leveraging spatial overlay to obtain statistics based on buffer areas.<\/p>\n<p>9.3 \u2013 Got into the creation of multiple-ring service areas essential for calibrating a gravity model. This involved generating service area polygons, spatially joining areas, pooling tags, calculating pool use statistics, creating scatterplots, and fitting curves to gravity model data points.<\/p>\n<p>9.4 &#8211; Gained insights into utilizing network analyst to locate facilities and analyze optimal solutions within a given network.<\/p>\n<p>9.5 &#8211; Explored data cluster analysis techniques and the interpretation of resulting clusters.<\/p>\n<p>Chapter 10<\/p>\n<p>10.1 &#8211; got into raster datasets, examining their properties, importing them into a file geodatabase, setting up the geoprocessing environment for raster analysis, and performing operations such as extracting land use and symbolizing raster datasets.<\/p>\n<p>10.2 &#8211; Explored the creation of density heat maps, studying project locations, utilizing Kernel Density Smoothing (KDS), creating threshold contour layers, and estimating data rates from threshold areas.<\/p>\n<p>10.3 &#8211; Engaged in building a risk index model, exploring project areas, standardizing input attributes, configuring geoprocessing environments, constructing models, setting up kernel density processes, and symbolizing resulting raster layers.<\/p>\n<p>Chapter 11<\/p>\n<p>11.1 &#8211; Explored global and local viewing models, navigating scenes, changing basemaps, applying visual enhancements, and understanding elevation surfaces.<\/p>\n<p>11.2 &#8211; Learned to create local scenes, construct TIN surfaces, manipulate surfaces, and alter TIN symbology.<\/p>\n<p>11.3 &#8211; Investigated the creation of z-enabled feature classes, digitizing data on surfaces, and displaying data realistically in 3D.<\/p>\n<p>11.4 &#8211; Explored the creation of features and line-of-sight analysis using lidar data, generating DSM and DTM surfaces, creating nDSM raster surfaces, determining building heights, and conducting line-of-sight analysis.<\/p>\n<p>11.5 &#8211; Delved into working with 3D features, extruding floors, visualizing building floors, and editing building heights dynamically.<\/p>\n<p>11.6 &#8211; Explored procedural rules and multipatch models for creating 3D content, applying building rules, and viewing multipatch models.<\/p>\n<p>11.7 &#8211; Learned to create animations, add keyframes, manage transitions, and export movies from animations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 9 9.1 &#8211; Explored the utilization of buffers for proximity analysis, involving operations such as running the pairwise buffer tool, selecting block centroids within buffers, and aggregating population data. 9.2 &#8211; Learned the intricacies of creating and implementing multiple-ring buffers and leveraging spatial overlay to obtain statistics based on buffer areas. 9.3 \u2013 Got into the creation of multiple-ring service areas essential for calibrating a gravity model. This involved generating service area polygons, spatially joining areas, pooling tags, calculating pool use statistics, creating scatterplots, and fitting curves to gravity model data points. 9.4 &#8211; Gained insights into utilizing network analyst to locate facilities and analyze optimal solutions within a given network. 9.5 &#8211; Explored data cluster analysis techniques and the interpretation of resulting clusters. Chapter 10 10.1 &#8211; got into raster datasets, examining their properties, importing them into a file geodatabase, setting up the geoprocessing environment for raster analysis, and performing operations such as extracting land use and symbolizing raster datasets. 10.2 &#8211; Explored the creation of density heat maps, studying project locations, utilizing Kernel Density Smoothing (KDS), creating threshold contour layers, and estimating data rates from threshold areas. 10.3 &#8211; Engaged in building a risk index model, exploring project areas, standardizing input attributes, configuring geoprocessing environments, constructing models, setting up kernel density processes, and symbolizing resulting raster layers. Chapter 11 11.1 &#8211; Explored global and local viewing models, navigating scenes, changing basemaps, applying visual enhancements, and understanding elevation surfaces. 11.2 &#8211; Learned to create local scenes, construct TIN surfaces, manipulate surfaces, and alter TIN symbology. 11.3 &#8211; Investigated the creation of z-enabled feature classes, digitizing data on surfaces, and displaying data realistically in 3D. 11.4 &#8211; Explored the creation of features and line-of-sight analysis using lidar data, generating DSM and DTM surfaces, creating nDSM raster surfaces, determining building heights, and conducting line-of-sight analysis. 11.5 &#8211; Delved into working with 3D features, extruding floors, visualizing building floors, and editing building heights dynamically. 11.6 &#8211; Explored procedural rules and multipatch models for creating 3D content, applying building rules, and viewing multipatch models. 11.7 &#8211; Learned to create animations, add keyframes, manage transitions, and export movies from animations.<\/p>\n","protected":false},"author":2237,"featured_media":2897,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-2886","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-course-student-work"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/2886","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/users\/2237"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=2886"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/2886\/revisions"}],"predecessor-version":[{"id":2887,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/2886\/revisions\/2887"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media\/2897"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=2886"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=2886"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=2886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}