{"id":414,"date":"2022-10-05T22:31:22","date_gmt":"2022-10-06T03:31:22","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-191\/?p=414"},"modified":"2022-10-05T22:31:22","modified_gmt":"2022-10-06T03:31:22","slug":"lee-l-week-3","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2022\/10\/05\/lee-l-week-3\/","title":{"rendered":"Lee L.- Week 3"},"content":{"rendered":"<p><b>Chapter 5<\/b><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Mapping what is occurring inside an area is significant for monitoring, so when something occurs out of the ordinary, they know to take action<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Taking how many areas you have to look inside into consideration, is it a singular area or is it multiple?\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Singular areas such as library districts allow you to monitor activity on a smaller scale.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">What\u2019s a buffer? I thought I escaped these, but chemistry always finds a way to invade every discipline I\u2019m in<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Wrong buffer, these ones define a distance around a specific feature, like a stream buffer which is off limits to logging. (Does this mean they can only get so close to it on a map?)<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Administrative or natural boundary-&gt; parcel or land, watershed<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Several areas would be contiguous, a prime example of this would be zip codes.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Disjunct-An example of these would be state parks<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Discrete features: unique and identifiable. Can list and count them as well as summarize them<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Locations<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Linear features: roads, pipelines<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\u00a0Discrete features: Parcels\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Continuous features represent more seamless and geographic phenomena.\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A summarization of features in each area\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Spatially continuous categories or classes like vegetative type or range of elevation (SOIL TYPES, I LOVE SOIL).<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Three ways to find what\u2019s inside<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><b>Drawing areas or features<\/b><\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Visual approach is good for seeing whether one or more features are inside or outside of an area (In or out of bounds)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Need a dataset containing the boundary of an area or areas and a dataset containing the features necessary<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Types: Locations, lines, areas, surfaces (The whole nine yards)\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Quick and easy, but visual based only so there is a slack of information from the inside<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><b>Selecting the features inside an area<\/b><\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Getting a list or summary of features inside a single area, or group of areas you\u2019re treating as one\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also good at finding what\u2019s within a given distance of a feature<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Types: Locations, lines, and areas (No surfaces. One time a guy said a seal was an impervious surface, is this true?)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Good for scaling down on information in a singular area, but doesn\u2019t really let you know information in other areas (Only all areas as a whole.)\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><b>Overlaying the areas and features<\/b><\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Combines area and features to create a new layer with the attributes of both or compares the two layers to calculate summary statistics for each area on the fly.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Finding which features are inside which area, and summarizing how many or how much by area<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Types: Locations, lines, areas, surfaces (The whole nine yards again)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Good for finding and displaying what\u2019s within each of the several areas, but requires more processing\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The color palettes for these maps were created by god himself, they\u2019re aesthetically pleasing and honestly are a little reward for reading through this book<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><b>Chapter 6<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">This is a thick mama chapter indeed<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Using GIS can help us find out what\u2019s occurring within a set distance of a feature, and help us find what is within traveling range.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">This makes me think of Apple or Google maps a bit, where you rely on the app to help you find things like restaurants, stores, etc. (Usually it tells you most places within a 20-40 mile radius rather than giving you a location to an ice cream place in Wisconsin, unless it is a business name within Wisconsin and that is the only one present in the GPS system.)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Totally not a virus. Trust me\u2026im a dolphin<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">I never knew mapping.\u00a0 I typed this thought out about 7 hours ago and I had no clue what I was going to say.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Wait, I remembered what I was going to say. I never knew that maps had a cost or budget really. I know that there&#8217;s a system budget that is more like a resource value rather than a currency oriented cost but this seems like an actual cost.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Okay, so cost is more of an aspect like time and a more precise measure of what\u2019s nearby.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Things are adding up in the little brain, does this explain why there are sometimes alternative routes? (other than obvious factors like road construction, etc.) Because sometimes the cost of time isn\u2019t really as valuable to those who aren\u2019t on a time crunch compared to others? (Ex. It takes 1 hour and 35 minutes for me to get home to Cambridge, OH from Delaware, OH. I hate taking the highway so I\u2019m willing to give up that cost of time and take a 2 hour drive home if it means I don\u2019t have to take the highway.)\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Planar method:<\/span><span style=\"font-weight: 400\"> appropriate when area of interest is relatively small (cities, counties, states.)\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Geodesic method:<\/span><span style=\"font-weight: 400\"> larger scale, revolving around the interest in bigger areas like countries, continents, the big momma Earth.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Lots of reiteration in these chapters, also that equation for distance was yucky. 1.5\/10<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Cost layer??\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Reclassify existing layer based on an attribute value.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Creating multiple layers? Combine all the input layers.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><b>Chapter 7<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">People typically map what&#8217;s changed in order to anticipate future conditions<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Does this apply to climate change? Like those deforestation maps where we anticipate less treeage in an area?\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It does, I think. (Flipped to the next page and was violently humbled. :o) )\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">We can also look at features that move! Although I find that hard to calculate at the moment unless you\u2019re a meteorologist or a person who monitors natural disasters frequently.\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Discrete features: tracked as they move through space. So we can map paths for things like hurricanes or animals.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Linear can track things like the direction a stream is going or the boundary of a fire.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A fun fact about me is I hate Smokey the Bear, if you read this post, ask me why.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">When it showed linear range, it made me think of my animal behavior class in the spring when we looked at turtles going to nest and then going to the opposite pole location because of the magnet things in their brains. (So it was technically the right area, but not. AKA, the turtle went to the other side of the island, but was in line with the location it was supposed to nest at. I don\u2019t know how to explain this.)\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Natural disasters and crimes represent geographical phenomena that occur in different locations. They are tracked and mapped in a specific instant.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">How do we map things in real time? Does that fall under the realm of specific instant?\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">The three time patterns<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A trend<\/span><span style=\"font-weight: 400\">-change between two (or more) dates or times\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Before and after<\/span><span style=\"font-weight: 400\">-conditions preceding and following an event<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">A cycle-<\/span><span style=\"font-weight: 400\">change over a recurring time period, such as day, month, or year.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moth\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Three more ways, but for mapping change<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Time series\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Good for showing changes in boundaries, values for discrete areas, or surfaces.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Create a map for each time or date showing the location or characteristics of features.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Tracking map\u00a0<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Good for showing movement in a discrete location, linear feature, or area boundary.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Create a single map showing locations of the features at several dates and times. (Weather?)\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Measuring change<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Change to show the amount, percentage, or rate of change in a place.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Calculated by difference of amount in a category or in the value of numeric attributes, and display the features based on said values.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Good stuff John.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 5 Mapping what is occurring inside an area is significant for monitoring, so when something occurs out of the ordinary, they know to take action Taking how many areas you have to look inside into consideration, is it a singular area or is it multiple?\u00a0 Singular areas such as library districts allow you to monitor activity on a smaller scale.\u00a0 What\u2019s a buffer? I thought I escaped these, but chemistry always finds a way to invade every discipline I\u2019m in Wrong buffer, these ones define a distance around a specific feature, like a stream buffer which is off limits to logging. (Does this mean they can only get so close to it on a map?) Administrative or natural boundary-&gt; parcel or land, watershed Several areas would be contiguous, a prime example of this would be zip codes.\u00a0 Disjunct-An example of these would be state parks Discrete features: unique and identifiable. Can list and count them as well as summarize them Locations Linear features: roads, pipelines \u00a0Discrete features: Parcels\u00a0 Continuous features represent more seamless and geographic phenomena.\u00a0 A summarization of features in each area\u00a0 Spatially continuous categories or classes like vegetative type or range of elevation (SOIL TYPES, I LOVE SOIL). Three ways to find what\u2019s inside Drawing areas or features Visual approach is good for seeing whether one or more features are inside or outside of an area (In or out of bounds) Need a dataset containing the boundary of an area or areas and a dataset containing the features necessary Types: Locations, lines, areas, surfaces (The whole nine yards)\u00a0 Quick and easy, but visual based only so there is a slack of information from the inside Selecting the features inside an area Getting a list or summary of features inside a single area, or group of areas you\u2019re treating as one\u00a0 Also good at finding what\u2019s within a given distance of a feature Types: Locations, lines, and areas (No surfaces. One time a guy said a seal was an impervious surface, is this true?) Good for scaling down on information in a singular area, but doesn\u2019t really let you know information in other areas (Only all areas as a whole.)\u00a0 Overlaying the areas and features Combines area and features to create a new layer with the attributes of both or compares the two layers to calculate summary statistics for each area on the fly.\u00a0 Finding which features are inside which area, and summarizing how many or how much by area Types: Locations, lines, areas, surfaces (The whole nine yards again) Good for finding and displaying what\u2019s within each of the several areas, but requires more processing\u00a0 The color palettes for these maps were created by god himself, they\u2019re aesthetically pleasing and honestly are a little reward for reading through this book Chapter 6 This is a thick mama chapter indeed Using GIS can help us find out what\u2019s occurring within a set distance of a feature, and help us find what is within traveling range.\u00a0 This makes me think of Apple or Google maps a bit, where you rely on the app to help you find things like restaurants, stores, etc. (Usually it tells you most places within a 20-40 mile radius rather than giving you a location to an ice cream place in Wisconsin, unless it is a business name within Wisconsin and that is the only one present in the GPS system.) Totally not a virus. Trust me\u2026im a dolphin I never knew mapping.\u00a0 I typed this thought out about 7 hours ago and I had no clue what I was going to say.\u00a0 Wait, I remembered what I was going to say. I never knew that maps had a cost or budget really. I know that there&#8217;s a system budget that is more like a resource value rather than a currency oriented cost but this seems like an actual cost. Okay, so cost is more of an aspect like time and a more precise measure of what\u2019s nearby.\u00a0 Things are adding up in the little brain, does this explain why there are sometimes alternative routes? (other than obvious factors like road construction, etc.) Because sometimes the cost of time isn\u2019t really as valuable to those who aren\u2019t on a time crunch compared to others? (Ex. It takes 1 hour and 35 minutes for me to get home to Cambridge, OH from Delaware, OH. I hate taking the highway so I\u2019m willing to give up that cost of time and take a 2 hour drive home if it means I don\u2019t have to take the highway.)\u00a0 Planar method: appropriate when area of interest is relatively small (cities, counties, states.)\u00a0 Geodesic method: larger scale, revolving around the interest in bigger areas like countries, continents, the big momma Earth.\u00a0 Lots of reiteration in these chapters, also that equation for distance was yucky. 1.5\/10 Cost layer??\u00a0 Reclassify existing layer based on an attribute value.\u00a0 Creating multiple layers? Combine all the input layers.\u00a0 Chapter 7 People typically map what&#8217;s changed in order to anticipate future conditions Does this apply to climate change? Like those deforestation maps where we anticipate less treeage in an area?\u00a0 It does, I think. (Flipped to the next page and was violently humbled. :o) )\u00a0 We can also look at features that move! Although I find that hard to calculate at the moment unless you\u2019re a meteorologist or a person who monitors natural disasters frequently.\u00a0 Discrete features: tracked as they move through space. So we can map paths for things like hurricanes or animals.\u00a0 Linear can track things like the direction a stream is going or the boundary of a fire.\u00a0 A fun fact about me is I hate Smokey the Bear, if you read this post, ask me why.\u00a0 When it showed linear range, it made me think of my animal behavior class in the spring when we looked at turtles going to nest and then going to the opposite pole location because of the magnet things in their brains. (So it was technically the right area, but not. AKA, the turtle went to the other side of the island, but was in line with the location it was supposed to nest at. I don\u2019t know how to explain this.)\u00a0 Natural disasters and crimes represent geographical phenomena that occur in different locations. They are tracked and mapped in a specific instant.\u00a0 How do we map things in real time? Does that fall under the realm of specific instant?\u00a0 The three time patterns A trend-change between two (or more) dates or times\u00a0 Before and after-conditions preceding and following an event A cycle-change over a recurring time period, such as day, month, or year.\u00a0 Moth\u00a0 Three more ways, but for mapping change Time series\u00a0 Good for showing changes in boundaries, values for discrete areas, or surfaces.\u00a0 Create a map for each time or date showing the location or characteristics of features.\u00a0 Tracking map\u00a0 Good for showing movement in a discrete location, linear feature, or area boundary.\u00a0 Create a single map showing locations of the features at several dates and times. (Weather?)\u00a0 Measuring change Change to show the amount, percentage, or rate of change in a place.\u00a0 Calculated by difference of amount in a category or in the value of numeric attributes, and display the features based on said values.\u00a0 Good stuff John.\u00a0 &nbsp;<\/p>\n","protected":false},"author":2163,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-414","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\/414","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\/2163"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=414"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/414\/revisions"}],"predecessor-version":[{"id":415,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/414\/revisions\/415"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=414"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}