{"id":3745,"date":"2025-01-24T18:27:28","date_gmt":"2025-01-24T23:27:28","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-291\/?p=3745"},"modified":"2025-01-24T18:27:28","modified_gmt":"2025-01-24T23:27:28","slug":"powell-week-2","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2025\/01\/24\/powell-week-2\/","title":{"rendered":"Powell Week 2"},"content":{"rendered":"

Chapter 1: Introducing GIS Analysis<\/strong><\/p>\n

Chapter 1 discusses what GIS analysis is along with the types of geographic features and how they are used.\u00a0 \u201cGIS analysis is a process for looking at geographic patterns in your data and at relationships between features\u201d (Mitchell 22).\u00a0 GIS analysis is used to figure out why things are where they are and allows for data to be processed in a way that allows you to visually see how it correlates.\u00a0 There are three types of geographic features, those being discrete, continuous phenomena, and summarized by area.\u00a0 These geographic features have an effect on the analysis process.\u00a0 Discrete features allow for the actual location to be highlighted.\u00a0 Continuous phenomena is continuous data that are values such as precipitation or temperature that can be measured at any part of the map.\u00a0 Features summarized by area is data that is summarized in a way that counts the total number of specifics such as the total population for example.\u00a0 There are two ways of representing geographic features.\u00a0 Those two ways are using different models called vector and raster.\u00a0 The vector model appears to be more organized with each geographic feature being in a row that is in a table.\u00a0 The raster model on the other hand the features are represented in a flush and continuous way.\u00a0 Each geographic feature has a specific attribute that gives information as to what the feature is.\u00a0 The different types of attribute values according to the book are categories, ranks, counts, amounts and ratios.\u00a0 Categories allow data to be organized in groups which helps to condense the information.\u00a0 Ranks put features in order from high to low and are specifically used when it’s hard to get direct measures.\u00a0 Counts and amounts both show a total number and allows you to see what actual value of a feature is.\u00a0 Ratios show the relationship between two quantities by dividing one by another.\u00a0 An important part of GIS analysis is data tables.<\/span><\/p>\n

Chapter 2: Mapping Where Things Are<\/strong><\/p>\n

Chapter 2 focuses on how maps are made, used and analyzed.\u00a0 Maps allow for people to be able to see where or what something is.\u00a0 By looking at these individual features it reveals patterns that can then further be analyzed.\u00a0 By using these patterns it can answer questions related to individual features.\u00a0 GIS can be used to map the location of different types of features to see whether certain types of these individual features occur in the same place.\u00a0 The most important thing about maps is that they must use certain keys and categories to allow for the person viewing to be able to easily process the information that is being presented.\u00a0 Using specific locations is also important when mapping in case someone viewing it is unfamiliar with the location.\u00a0 This chapter further explains how to prepare data for creating a map and lists the most important steps being to assign geographic coordinates, and category values.\u00a0 The geographic coordinates and category values allow for the information to be more identifiable to the GIS system.\u00a0 For creating maps you have to use this information and tell the GIS which features you want to be shown and what symbols to attribute to them that will be drawn on the map.\u00a0 For mapping a single type you use the same symbol; this is often seen on basic maps that just focus on a specific feature and what patterns can be revealed.\u00a0 The GIS uses the geographic coordinates to draw the features at the coordinate that is listed.\u00a0 To map areas the GIS uses these coordinates to create an outline which is then filled with a specific color or pattern.\u00a0 Another way of mapping is using a subset of features which allows for all types of a specific category values to be shown which can reveal patterns because not all features are shown.\u00a0 While this is helpful for mapping features in a very specific location sometimes this isn’t helpful as more context is needed.\u00a0 The book uses an interesting example of types of zoning and how it might be beneficial to see all the different zones in a lighter color to be able to see the areas around in order to highlight how much area of the map this zone takes up.\u00a0 To map larger areas you would have to take into consideration the scale of the map and the amount of categories that would be used and how you can group them in order to maintain the easy readability of the map.<\/span><\/p>\n

Chapter 3: Mapping the Most and Least<\/strong><\/p>\n

Chapter 3 focused on explaining why you have to map the most and least.\u00a0 This chapter also gives further information about mapping.\u00a0 The reason for mapping the most and least is to be able to reveal a relationship between places.\u00a0 Mapping the amount can be crucial as it gives a bigger picture besides just showing where something is which is what mapping the locations of a feature is.\u00a0 Going back to the idea presented in Chapter 1 related to geographic features you can map quantities that are associated to discrete features, continuous phenomena and the data summarized by area.\u00a0 By taking these geographic features into account it helps for deciding how to present a map.\u00a0 I feel as though this chapter is very statistics based and focuses on how to properly document and map a specific quantity of a feature.\u00a0 The chapter then further talks about how it is important to understand quantities and how when mapping the most and least you should assign specific symbols that correlate with the features that are based on the specific attributes of these quantities.\u00a0 Relating back to Chapter 1, the specific attribute values can also be used here to map the most and least.\u00a0 Count or an amount can be used to see the value of a feature.\u00a0 Ratios can be used to help identify and reveal relationships between two quantities.\u00a0 Ranks are helpful towards putting features in a specific order which is from high to low.\u00a0 Taking these quantities into consideration allows for the next step which is to decide how you want this data to be displayed on the map.\u00a0 I think to be able to determine which attribute value would be useful you would have to take into consideration the data you have.\u00a0 Once you figure out how to classify and organize the data then a map can be created as it places the information that is given and in turn reveals patterns related to what was inputted. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Chapter 1: Introducing GIS Analysis Chapter 1 discusses what GIS analysis is along with the types of geographic features and how they are used.\u00a0 \u201cGIS analysis is a process for looking at geographic patterns in your data and at relationships between features\u201d (Mitchell 22).\u00a0 GIS analysis is used to figure out why things are where they are and allows for data to be processed in a way that allows you to visually see how it correlates.\u00a0 There are three types of geographic features, those being discrete, continuous phenomena, and summarized by area.\u00a0 These geographic features have an effect on the analysis process.\u00a0 Discrete features allow for the actual location to be highlighted.\u00a0 Continuous phenomena is continuous data that are values such as precipitation or temperature that can be measured at any part of the map.\u00a0 Features summarized by area is data that is summarized in a way that counts the total number of specifics such as the total population for example.\u00a0 There are two ways of representing geographic features.\u00a0 Those two ways are using different models called vector and raster.\u00a0 The vector model appears to be more organized with each geographic feature being in a row that is in a table.\u00a0 The raster model on the other hand the features are represented in a flush and continuous way.\u00a0 Each geographic feature has a specific attribute that gives information as to what the feature is.\u00a0 The different types of attribute values according to the book are categories, ranks, counts, amounts and ratios.\u00a0 Categories allow data to be organized in groups which helps to condense the information.\u00a0 Ranks put features in order from high to low and are specifically used when it’s hard to get direct measures.\u00a0 Counts and amounts both show a total number and allows you to see what actual value of a feature is.\u00a0 Ratios show the relationship between two quantities by dividing one by another.\u00a0 An important part of GIS analysis is data tables. Chapter 2: Mapping Where Things Are Chapter 2 focuses on how maps are made, used and analyzed.\u00a0 Maps allow for people to be able to see where or what something is.\u00a0 By looking at these individual features it reveals patterns that can then further be analyzed.\u00a0 By using these patterns it can answer questions related to individual features.\u00a0 GIS can be used to map the location of different types of features to see whether certain types of these individual features occur in the same place.\u00a0 The most important thing about maps is that they must use certain keys and categories to allow for the person viewing to be able to easily process the information that is being presented.\u00a0 Using specific locations is also important when mapping in case someone viewing it is unfamiliar with the location.\u00a0 This chapter further explains how to prepare data for creating a map and lists the most important steps being to assign geographic coordinates, and category values.\u00a0 The geographic coordinates and category values allow for the information to be more identifiable to the GIS system.\u00a0 For creating maps you have to use this information and tell the GIS which features you want to be shown and what symbols to attribute to them that will be drawn on the map.\u00a0 For mapping a single type you use the same symbol; this is often seen on basic maps that just focus on a specific feature and what patterns can be revealed.\u00a0 The GIS uses the geographic coordinates to draw the features at the coordinate that is listed.\u00a0 To map areas the GIS uses these coordinates to create an outline which is then filled with a specific color or pattern.\u00a0 Another way of mapping is using a subset of features which allows for all types of a specific category values to be shown which can reveal patterns because not all features are shown.\u00a0 While this is helpful for mapping features in a very specific location sometimes this isn’t helpful as more context is needed.\u00a0 The book uses an interesting example of types of zoning and how it might be beneficial to see all the different zones in a lighter color to be able to see the areas around in order to highlight how much area of the map this zone takes up.\u00a0 To map larger areas you would have to take into consideration the scale of the map and the amount of categories that would be used and how you can group them in order to maintain the easy readability of the map. Chapter 3: Mapping the Most and Least Chapter 3 focused on explaining why you have to map the most and least.\u00a0 This chapter also gives further information about mapping.\u00a0 The reason for mapping the most and least is to be able to reveal a relationship between places.\u00a0 Mapping the amount can be crucial as it gives a bigger picture besides just showing where something is which is what mapping the locations of a feature is.\u00a0 Going back to the idea presented in Chapter 1 related to geographic features you can map quantities that are associated to discrete features, continuous phenomena and the data summarized by area.\u00a0 By taking these geographic features into account it helps for deciding how to present a map.\u00a0 I feel as though this chapter is very statistics based and focuses on how to properly document and map a specific quantity of a feature.\u00a0 The chapter then further talks about how it is important to understand quantities and how when mapping the most and least you should assign specific symbols that correlate with the features that are based on the specific attributes of these quantities.\u00a0 Relating back to Chapter 1, the specific attribute values can also be used here to map the most and least.\u00a0 Count or an amount can be used to see the value of a feature.\u00a0 Ratios can be used to help identify and reveal relationships between two quantities.\u00a0 Ranks are helpful towards putting features in a specific order which is from high to low.\u00a0 Taking these quantities into consideration allows for the next step which is to decide how you want this data to be displayed on the map.\u00a0 I think to be able to determine which attribute value would be useful you would have to take into consideration the data you have.\u00a0 Once you figure out how to classify and organize the data then a map can be created as it places the information that is given and in turn reveals patterns related to what was inputted.<\/p>\n","protected":false},"author":2290,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-3745","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\/3745","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\/2290"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=3745"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/3745\/revisions"}],"predecessor-version":[{"id":3746,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/3745\/revisions\/3746"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=3745"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=3745"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=3745"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}