Chapter 1:<\/p>\n
GIS is collecting data and analyzing the patterns that the data presents. The steps in mapping an analysis is to start by asking a specific question, understanding all aspects of the question, choosing a scientific method, then processing and looking at the data to make sure it valid for presentation. There are also three geographic features which include features that are discrete, a continuous phenomenon, or summarized by area. Discrete features include the location to be pinpointed, meaning it’s either present or it’s not. Continuous phenomenon is mapping data such as precipitation or temperature since they can be measured anywhere and \u00a0uses a process known as interpolation to plot the given values. Continuous phenomenon can also plot data that is the same throughout a given area, such as soil composition or vegetation. Lastly, features summarized by area count the amount of features within the plotted boundaries. This process typically maps diversity in populations. Other key words from the chapter include vector and raster. The vector model showcases data in a line other than table and are defined by x,y,x locations on the map. The raster model shows features in a continues space with layers of specific cells. A key idea from the chapter was to understand the geographic attributes of defining the feature used and then describing it. The types of attribute values are categories: smaller groups, ranks: features in order from high to low, counts and amounts: show total numbers, ratios: show relationship between two quantities. The last concept from this chapter was how to work with data tables by selecting the rows of data in a logical expression then calculate. This section confused me a bit because I wasn’t sure on what this section meant. But lastly the chapter expresses to summarize the values into statistics.<\/p>\n
Chapter 2:<\/p>\n
The chapter opens why stating the importance of mapping information. I thought the examples given such as crime mapping and mapping environmental changes were important because it gives people a gauge on why things are happening. Altering mapping these disturbances, the question and be asked to why this is happening in this area and analyzing if these same features are \u00a0 present in similar places. After the data is collected, it’s up to the person who collected the data on how it is to be presented. Some ideas to make it better for the viewer was to add information that was collected or the lack there of, while also adding important land marks such as post offices, parks, or street names. This important can be valuable for people if the area is unfamiliar. Some key ideas when mapping data was having geographical coordinates like longitude and latitude. There is also the importance of categorizing the information. The example I thought was interesting was “crime” but them identifying the crime was assault, burglary, or other types of crime. One key idea from this chapter was how to map GIS by using a pair of coordinates for a location with the name of the address or a symbol to identify the specific target location. Other notable features include drawling lines for roads and filling in colored spaces for open land. I this idea was important for the chapter. The chapter goes into the importance of grouping and organizing data for the reader. A key claim from the chapter was to not extend more than 7 categories because the information can become blurry. However, it’s important to note all data but grouping what is similar and important is a skill that is used in GIS. Some mapping features included thicker lines for high traffic roads and different symbols with unique colors will also distinguish between features on the map. I thought this chapter gave important information of the stylist choices when mapping.<\/p>\n
Chapter 3:<\/p>\n
Mapping the least and most amount of data can be important for people to see relationships between places or know which area fits their needs. Discrete features are typically one location represented with larger symbols to represent the density. A continuous phenomenon can be displayed with difference of shading between densities. A question I had from this section was about the difference between graduated colors and shading. This chapter breaks up these two phases, however from the maps, they both look like lighter colors to darker colors showing the change in densities. I did find it interesting how the mapping of population in an area can be beneficial through looking at densities of population and mapping human activity, while also mapping environmental changes and data. A key phrase that I learned from the chapter was counts and amounts. This phrase is identified as the counts being the actual numbers of features on a map where the amount is the value for each feature. Ratios was also an important key word from the chapter and this was defined as the relation between two values and this can be showcased through averages, densities, and proportions. Finding the average is just dividing the total number by the number of groups. With categories, I was a little confused on how to calculate it. With densities, they show how concentrated values are and these are calculate by dividing the value by area of land. Further in the chapter, other important aspects of mapping included creating classes or mapping individual values. In classes, there are quantile, equal interval, and standard deviation. Lastly, towards the end of the chapter, we are shown difference types of mapping with their advantages and disadvantages of each system of mapping.<\/p>\n","protected":false},"excerpt":{"rendered":"
Chapter 1: GIS is collecting data and analyzing the patterns that the data presents. The steps in mapping an analysis is to start by asking a specific question, understanding all aspects of the question, choosing a scientific method, then processing and looking at the data to make sure it valid for presentation. There are also three geographic features which include features that are discrete, a continuous phenomenon, or summarized by area. Discrete features include the location to be pinpointed, meaning it’s either present or it’s not. Continuous phenomenon is mapping data such as precipitation or temperature since they can be measured anywhere and \u00a0uses a process known as interpolation to plot the given values. Continuous phenomenon can also plot data that is the same throughout a given area, such as soil composition or vegetation. Lastly, features summarized by area count the amount of features within the plotted boundaries. This process typically maps diversity in populations. Other key words from the chapter include vector and raster. The vector model showcases data in a line other than table and are defined by x,y,x locations on the map. The raster model shows features in a continues space with layers of specific cells. A key idea from the chapter was to understand the geographic attributes of defining the feature used and then describing it. The types of attribute values are categories: smaller groups, ranks: features in order from high to low, counts and amounts: show total numbers, ratios: show relationship between two quantities. The last concept from this chapter was how to work with data tables by selecting the rows of data in a logical expression then calculate. This section confused me a bit because I wasn’t sure on what this section meant. But lastly the chapter expresses to summarize the values into statistics. Chapter 2: The chapter opens why stating the importance of mapping information. I thought the examples given such as crime mapping and mapping environmental changes were important because it gives people a gauge on why things are happening. Altering mapping these disturbances, the question and be asked to why this is happening in this area and analyzing if these same features are \u00a0 present in similar places. After the data is collected, it’s up to the person who collected the data on how it is to be presented. Some ideas to make it better for the viewer was to add information that was collected or the lack there of, while also adding important land marks such as post offices, parks, or street names. This important can be valuable for people if the area is unfamiliar. Some key ideas when mapping data was having geographical coordinates like longitude and latitude. There is also the importance of categorizing the information. The example I thought was interesting was “crime” but them identifying the crime was assault, burglary, or other types of crime. One key idea from this chapter was how to map GIS by using a pair of coordinates for a location with the name of the address or a symbol to identify the specific target location. Other notable features include drawling lines for roads and filling in colored spaces for open land. I this idea was important for the chapter. The chapter goes into the importance of grouping and organizing data for the reader. A key claim from the chapter was to not extend more than 7 categories because the information can become blurry. However, it’s important to note all data but grouping what is similar and important is a skill that is used in GIS. Some mapping features included thicker lines for high traffic roads and different symbols with unique colors will also distinguish between features on the map. I thought this chapter gave important information of the stylist choices when mapping. Chapter 3: Mapping the least and most amount of data can be important for people to see relationships between places or know which area fits their needs. Discrete features are typically one location represented with larger symbols to represent the density. A continuous phenomenon can be displayed with difference of shading between densities. A question I had from this section was about the difference between graduated colors and shading. This chapter breaks up these two phases, however from the maps, they both look like lighter colors to darker colors showing the change in densities. I did find it interesting how the mapping of population in an area can be beneficial through looking at densities of population and mapping human activity, while also mapping environmental changes and data. A key phrase that I learned from the chapter was counts and amounts. This phrase is identified as the counts being the actual numbers of features on a map where the amount is the value for each feature. Ratios was also an important key word from the chapter and this was defined as the relation between two values and this can be showcased through averages, densities, and proportions. Finding the average is just dividing the total number by the number of groups. With categories, I was a little confused on how to calculate it. With densities, they show how concentrated values are and these are calculate by dividing the value by area of land. Further in the chapter, other important aspects of mapping included creating classes or mapping individual values. In classes, there are quantile, equal interval, and standard deviation. Lastly, towards the end of the chapter, we are shown difference types of mapping with their advantages and disadvantages of each system of mapping.<\/p>\n","protected":false},"author":2431,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-7270","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\/7270","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\/2431"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=7270"}],"version-history":[{"count":6,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7270\/revisions"}],"predecessor-version":[{"id":7300,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7270\/revisions\/7300"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=7270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=7270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=7270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}