{"id":7866,"date":"2026-10-06T16:24:05","date_gmt":"2026-10-06T21:24:05","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-291\/?p=7866"},"modified":"2026-10-06T16:34:54","modified_gmt":"2026-10-06T21:34:54","slug":"chapter-789","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2026\/10\/06\/chapter-789\/","title":{"rendered":"Bailey Week 6"},"content":{"rendered":"
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J Bailey<\/p>\n

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Ch 7\u00a0 Instead of just using premade maps, you can use a digital tracer to create new map shapes like property lines, parks, or paths by clicking points on your screen over a background image. Using the <\/span>editing tools in ArcGIS Pro that allow you to\u00a0 reshape, split apart, or glue together these digital shapes.\u00a0 This chapter showed me <\/span>\u00a0how to import and spatially adjust outdated or mismatched drawing files I liked <\/span>\u00a0<\/span>building background spreadsheets (attribute tables)\u00a0 attaching descriptive names, categories, and measured details.<\/span><\/p>\n

Ch 8\u00a0 I learned how to use Geocoding which is basically interperting a map.\u00a0 Instead of manually plotting coordinates, you learn how to take a simple list or spreadsheet of text data\u2014such as street addresses or ZIP codes and automatically turn them into geographic features. It wa interesting setting up a locator tool, which acts like a digital directory that ArcGIS Pro references to match your text list to realworld coordinates. I practiced mapping specific datasets, like survey responses, using both broader ZIP code boundaries and exact street alignments. I learned\u00a0 how to turn\u00a0 administrative tables into\u00a0 spatial maps.<\/p>\n

Ch9\u00a0 Spatial Anaylasis is looking at patterns and realtionships across a map.<\/strong> , I used advanced computer tools to answer difficult geographic questions and manipulate map data. I used buffers, which are protective zones or distance rings drawn around specific points, like marking a one-mile radius .\u00a0 I find it interesting you can blend different map layers togetherwhich is similar to stacking transparent sheets so you can see where different pieces of information overlap.\u00a0 \u00a0You\u00a0 can take basic geographic information and turn it into clear, visual solutions for decision making.<\/p>\n

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Parcel : This dataset consists of polygons that represent all cadastral parcel lines within Delaware County, Ohio.\u00a0\u00a0<\/span><\/p>\n

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Hydrology: This dataset consists of all major waterways within Delaware County, Ohio. This data was enhanced in 2018 with LIDAR based data.\u00a0\u00a0<\/span><\/p>\n

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Streetline :The State of Ohio Location Based Response System (LBRS) Street_Centerlines depict the center of pavement of public and private roads within Delaware County.\u00a0<\/span><\/p>\n

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J Bailey   Ch 7\u00a0 Instead of just using premade maps, you can use a digital tracer to create new map shapes like property lines, parks, or paths by clicking points on your screen over a background image. Using the editing tools in ArcGIS Pro that allow you to\u00a0 reshape, split apart, or glue together these digital shapes.\u00a0 This chapter showed me \u00a0how to import and spatially adjust outdated or mismatched drawing files I liked \u00a0building background spreadsheets (attribute tables)\u00a0 attaching descriptive names, categories, and measured details. Ch 8\u00a0 I learned how to use Geocoding which is basically interperting a map.\u00a0 Instead of manually plotting coordinates, you learn how to take a simple list or spreadsheet of text data\u2014such as street addresses or ZIP codes and automatically turn them into geographic features. It wa interesting setting up a locator tool, which acts like a digital directory that ArcGIS Pro references to match your text list to realworld coordinates. I practiced mapping specific datasets, like survey responses, using both broader ZIP code boundaries and exact street alignments. I learned\u00a0 how to turn\u00a0 administrative tables into\u00a0 spatial maps. Ch9\u00a0 Spatial Anaylasis is looking at patterns and realtionships across a map. , I used advanced computer tools to answer difficult geographic questions and manipulate map data. I used buffers, which are protective zones or distance rings drawn around specific points, like marking a one-mile radius .\u00a0 I find it interesting you can blend different map layers togetherwhich is similar to stacking transparent sheets so you can see where different pieces of information overlap.\u00a0 \u00a0You\u00a0 can take basic geographic information and turn it into clear, visual solutions for decision making.   Parcel : This dataset consists of polygons that represent all cadastral parcel lines within Delaware County, Ohio.\u00a0\u00a0   Hydrology: This dataset consists of all major waterways within Delaware County, Ohio. This data was enhanced in 2018 with LIDAR based data.\u00a0\u00a0   Streetline :The State of Ohio Location Based Response System (LBRS) Street_Centerlines depict the center of pavement of public and private roads within Delaware County.\u00a0        <\/p>\n","protected":false},"author":2414,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-7866","post","type-post","status-publish","format-standard","hentry","category-course-student-work"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7866","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\/2414"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=7866"}],"version-history":[{"count":5,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7866\/revisions"}],"predecessor-version":[{"id":7898,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7866\/revisions\/7898"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=7866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=7866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=7866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}