{"id":1883,"date":"2024-02-02T11:23:52","date_gmt":"2024-02-02T16:23:52","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-291\/?p=1883"},"modified":"2024-02-02T11:23:52","modified_gmt":"2024-02-02T16:23:52","slug":"shaw-week-3","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2024\/02\/02\/shaw-week-3\/","title":{"rendered":"Shaw &#8211; Week 3"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Chapter 4<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mapping the density of features lets you see the patterns of where things are concentrated.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Density maps are mostly used to look at patterns instead of the usual locations of features.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mapping density is especially useful when mapping areas like counties.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">GIS can be used to map the density of points or lines.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">You can map the density of features\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">There are two ways of mapping density, by defined area and by density surface\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Defined area is density mapped graphically by using a dot map or calculating a density value for each area\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Density surface is created in the GIS as a raster layer\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Density is calculated based on the areal extent of each polygon<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Some GISsoftware allows you to calculate density instantaneously<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">When creating the map you specify the value you\u2019re mapping density for and the attribute containing the area<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A dot density map is a method where you map each area based on a total count or amount and specify how much each dot represents<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Dot maps gives readers a quick sense of density in a place<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A dot map simply represents density graphically\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">GIS can be used to summarize features or feature values for each polygon\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">There are many parameters that you specify affect how the gis calculates density surface like cell size, search radius, calculation method, and units.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Cell size determines how coarse or fine the patterns will appear.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400\">Chapter 5\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mapping inside an area allows you to monitor what&#8217;s occurring inside it, or to compare several areas based on what&#8217;s inside each.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">To find what\u2019s inside you draw an area boundary on top of the features.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Finding what&#8217;s inside a single area lets you monitor activity or summarize information about the area.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Finding how much of something is inside each of the areas lets you compare the areas.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Discrete features are identifiable and unique.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Listing them or a numeric attribute with them would allow easier comparisons.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Continuous features represent seamless geographic phenomena.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Continuous values: are numeric values that can vary continuously across a surface.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">GIS can be used to find out whether an individual feature is inside an area.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Linear Features and discrete areas might lie partially inside and outside an area.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Three ways of finding what\u2019s inside\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Drawing areas: you create a map showing the boundary of the area and the features.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Selecting the features inside the area: you can specify the area and the layer containing the features, and the GIS selects a subset of the features inside the area.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Overlaying the areas and features: the GIS combines the area and the features to create a new layer with the attribute of both or compares the two layers to calculate summary statistics for each area.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Overlaying areas and features: this method lets you find which discrete features are inside which areas and summarize them.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400\">Chapter 6\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Finding what&#8217;s nearby\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Lets you see what&#8217;s within a set distance or travel range of a feature.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">To find what\u2019s nearby, you can measure straight line distance, measure distance or cost over a network, or over a surface.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Distance is one way of defining and measuring how close something is.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">If you are mapping what\u2019s nearby based on travel, you can use distance or cost.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">You can specify a single range or several ranges<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">If specifying more than one range, you can create either inclusive rings or distinct brands<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Inclusive rings are useful for finding out how the total amount increases as the distance increases.\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Bands are useful if you want to compare distance to other characteristics.<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Three ways of finding what&#8217;s nearby:<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Straight-line distance: you can specify the source feature and the distance, and the GIS finds the area or the surrounding features within the distance.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Distance or cost over a network: You can specify the source locations and a distance or travel cost along each linear feature.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Cost over a surface: You can specify the location of the source features and a travel cost.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">To create a buffer, you specify the source feature and the buffer distance.<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Once you\u2019ve created the buffer, you can display it to see what\u2019s within the distance of the source, or you can use the buffer to select the features that fall within it.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 4 Mapping the density of features lets you see the patterns of where things are concentrated. Density maps are mostly used to look at patterns instead of the usual locations of features. Mapping density is especially useful when mapping areas like counties. GIS can be used to map the density of points or lines. You can map the density of features\u00a0 There are two ways of mapping density, by defined area and by density surface\u00a0 Defined area is density mapped graphically by using a dot map or calculating a density value for each area\u00a0 Density surface is created in the GIS as a raster layer\u00a0 Density is calculated based on the areal extent of each polygon Some GISsoftware allows you to calculate density instantaneously When creating the map you specify the value you\u2019re mapping density for and the attribute containing the area A dot density map is a method where you map each area based on a total count or amount and specify how much each dot represents Dot maps gives readers a quick sense of density in a place A dot map simply represents density graphically\u00a0 GIS can be used to summarize features or feature values for each polygon\u00a0 There are many parameters that you specify affect how the gis calculates density surface like cell size, search radius, calculation method, and units. Cell size determines how coarse or fine the patterns will appear.\u00a0 &nbsp; Chapter 5\u00a0 Mapping inside an area allows you to monitor what&#8217;s occurring inside it, or to compare several areas based on what&#8217;s inside each. To find what\u2019s inside you draw an area boundary on top of the features. Finding what&#8217;s inside a single area lets you monitor activity or summarize information about the area. Finding how much of something is inside each of the areas lets you compare the areas. Discrete features are identifiable and unique. Listing them or a numeric attribute with them would allow easier comparisons. Continuous features represent seamless geographic phenomena. Continuous values: are numeric values that can vary continuously across a surface. GIS can be used to find out whether an individual feature is inside an area. Linear Features and discrete areas might lie partially inside and outside an area. Three ways of finding what\u2019s inside\u00a0 Drawing areas: you create a map showing the boundary of the area and the features. Selecting the features inside the area: you can specify the area and the layer containing the features, and the GIS selects a subset of the features inside the area. Overlaying the areas and features: the GIS combines the area and the features to create a new layer with the attribute of both or compares the two layers to calculate summary statistics for each area. Overlaying areas and features: this method lets you find which discrete features are inside which areas and summarize them. &nbsp; Chapter 6\u00a0 Finding what&#8217;s nearby\u00a0 Lets you see what&#8217;s within a set distance or travel range of a feature. To find what\u2019s nearby, you can measure straight line distance, measure distance or cost over a network, or over a surface. Distance is one way of defining and measuring how close something is. If you are mapping what\u2019s nearby based on travel, you can use distance or cost. You can specify a single range or several ranges If specifying more than one range, you can create either inclusive rings or distinct brands Inclusive rings are useful for finding out how the total amount increases as the distance increases.\u00a0 Bands are useful if you want to compare distance to other characteristics. Three ways of finding what&#8217;s nearby: Straight-line distance: you can specify the source feature and the distance, and the GIS finds the area or the surrounding features within the distance. Distance or cost over a network: You can specify the source locations and a distance or travel cost along each linear feature.\u00a0 Cost over a surface: You can specify the location of the source features and a travel cost.\u00a0 To create a buffer, you specify the source feature and the buffer distance. Once you\u2019ve created the buffer, you can display it to see what\u2019s within the distance of the source, or you can use the buffer to select the features that fall within it.<\/p>\n","protected":false},"author":2241,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1883","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\/1883","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\/2241"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=1883"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/1883\/revisions"}],"predecessor-version":[{"id":1884,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/1883\/revisions\/1884"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=1883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=1883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=1883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}