{"id":385,"date":"2022-10-05T10:44:44","date_gmt":"2022-10-05T15:44:44","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-191\/?p=385"},"modified":"2022-10-05T10:44:44","modified_gmt":"2022-10-05T15:44:44","slug":"jocelyn-weaver-week-5","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2022\/10\/05\/jocelyn-weaver-week-5\/","title":{"rendered":"Jocelyn Weaver &#8211; Week 5"},"content":{"rendered":"<p>Chapter 6:<\/p>\n<ul>\n<li>Domains provide a way for you to constrain input information by limiting the choice of values for a particular field, helps maintain data integrity<\/li>\n<li>Organization &#8211; shared online workspace that is tied to your software license<\/li>\n<li>Tree inventory map allows urban forest managers ti identify areas in which tree conditions can be poor and prioritize maintenance<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-393\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6-300x134.png\" alt=\"\" width=\"300\" height=\"134\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6-300x134.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6-1024x458.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6-768x344.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6-1536x688.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.6.png 1883w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Chapter 7:<\/p>\n<ul>\n<li>Geocoding- create features from information that describes or names a location, typically an address\n<ul>\n<li>Address table<\/li>\n<li>Reference data<\/li>\n<li>Address locator &#8211; file contains the reference data and various geocoding rules and settings<\/li>\n<\/ul>\n<\/li>\n<li>Buffers are polygons that are created around a feature at specified distances<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-394\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.7-300x118.png\" alt=\"\" width=\"300\" height=\"118\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.7-300x118.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.7-1024x401.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.7-768x301.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.7.png 1452w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Chapter 8:<\/p>\n<ul>\n<li>Temporal data &#8211; data that has a time attribute<\/li>\n<li>Hot spot analysis &#8211; determines which areas are significant, including areas that are hot and cold and areas that are not significant are white<\/li>\n<li>Space-time cube &#8211; helps visualize the data, the bins can be viewed in 2 or 3 dimensions and can show patterns of incidents over time<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-395\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.1-300x183.png\" alt=\"\" width=\"300\" height=\"183\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.1-300x183.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.1-1024x624.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.1-768x468.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.1.png 1458w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-396\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3-300x162.png\" alt=\"\" width=\"300\" height=\"162\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3-300x162.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3-1024x552.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3-768x414.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3-1536x828.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.8.3.png 1920w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Chapter 9:<\/p>\n<ul>\n<li>Cells &#8211; raster is composed of a grid of cells, instead of discrete x,y coordinates that define geographic entities<\/li>\n<li>Discrete data &#8211; shows distinct and discernible regions on a map, such as soil type<\/li>\n<li>Continuous data &#8211; there are smooth transitions between variations in the data<\/li>\n<li>Map algebra &#8211; language that combines GIS layers, is fundamental to raster analysis<\/li>\n<li>NoData &#8211; no values were recorded in cell (not the same as 0)<\/li>\n<li>Mask &#8211; means of identifying areas to be included in a geoprocessing operation<\/li>\n<li>Hillshade &#8211; surface layer that depicts shadows to model the effect of an illumination source over terrain of the land<\/li>\n<li>Azimuth &#8211; the direction of the sun, expressed in positive degrees<\/li>\n<li>Altitude &#8211; angle of the sun above horizon<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-397\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.2-300x206.png\" alt=\"\" width=\"300\" height=\"206\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.2-300x206.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.2-1024x702.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.2-768x527.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.2.png 1267w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-398\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.3-300x208.png\" alt=\"\" width=\"300\" height=\"208\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.3-300x208.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.3-1024x709.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.3-768x532.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.9.3.png 1267w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Chapter 10:<\/p>\n<ul>\n<li>Labels &#8211; based on one or more feature attributes and placed near or on a feature<\/li>\n<li>Label class &#8211; used to specify detailed aspects of how labels are positioned and symbolized<\/li>\n<li>Map frames &#8211; containers for maps in your page layout<\/li>\n<li>Scale bar &#8211; dynamic element that provides an indication of the size of a feature and distance on the map<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-399\" src=\"https:\/\/sites.owu.edu\/geog-191\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.10.2-300x207.png\" alt=\"\" width=\"300\" height=\"207\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.10.2-300x207.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.10.2-1024x705.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.10.2-768x529.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2022\/10\/PAM.10.2.png 1279w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 6: Domains provide a way for you to constrain input information by limiting the choice of values for a particular field, helps maintain data integrity Organization &#8211; shared online workspace that is tied to your software license Tree inventory map allows urban forest managers ti identify areas in which tree conditions can be poor and prioritize maintenance Chapter 7: Geocoding- create features from information that describes or names a location, typically an address Address table Reference data Address locator &#8211; file contains the reference data and various geocoding rules and settings Buffers are polygons that are created around a feature at specified distances Chapter 8: Temporal data &#8211; data that has a time attribute Hot spot analysis &#8211; determines which areas are significant, including areas that are hot and cold and areas that are not significant are white Space-time cube &#8211; helps visualize the data, the bins can be viewed in 2 or 3 dimensions and can show patterns of incidents over time Chapter 9: Cells &#8211; raster is composed of a grid of cells, instead of discrete x,y coordinates that define geographic entities Discrete data &#8211; shows distinct and discernible regions on a map, such as soil type Continuous data &#8211; there are smooth transitions between variations in the data Map algebra &#8211; language that combines GIS layers, is fundamental to raster analysis NoData &#8211; no values were recorded in cell (not the same as 0) Mask &#8211; means of identifying areas to be included in a geoprocessing operation Hillshade &#8211; surface layer that depicts shadows to model the effect of an illumination source over terrain of the land Azimuth &#8211; the direction of the sun, expressed in positive degrees Altitude &#8211; angle of the sun above horizon Chapter 10: Labels &#8211; based on one or more feature attributes and placed near or on a feature Label class &#8211; used to specify detailed aspects of how labels are positioned and symbolized Map frames &#8211; containers for maps in your page layout Scale bar &#8211; dynamic element that provides an indication of the size of a feature and distance on the map<\/p>\n","protected":false},"author":2160,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-385","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\/385","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\/2160"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=385"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/385\/revisions"}],"predecessor-version":[{"id":400,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/385\/revisions\/400"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=385"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=385"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=385"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}