Author: mrboldman

Chapter 7

Chapter 7 introduced me to the process of manually digitizing features using various tools. I became more familiar with using basemaps throughout these lessons and learned how to edit and create vector map features. The tutorials were straightforward, allowing me to quickly grasp how to adjust polygons to align with building outlines by using the move, rotate, and resize tools. To achieve greater precision in aligning the polygons, I utilized the construction toolbar to add refined points, known as vertex points, to the corners of the buildings. Section 7.1 focused on the finer details of GIS work, helping me create polished maps at close range. In section 7.2, I gained valuable insights into symbolizing point features for parking lots and transportation locations on campus. However, the “Your Turn” exercise in section 7.2 posed some challenges, as the instructions did not clearly specify that I needed to change the feature class type to point. Additionally, I had difficulty locating the bus symbol and had to explore the symbology panel further to find the appropriate symbol. The next lesson guided me through editing polygon shapes and smoothing the green spaces. I practiced using the smooth polygon tool in the “Your Turn” section on Panther Hollow Lake. The final skill I learned was how to take a CAD layer and match it to the corresponding feature on the actual map.

Chapter 8

Chapter 8 focuses on geocoding, which is the process of matching addresses from the locator database to tabular data. I learned how to place points using this table data, but I also discovered that even a small mistake can result in inaccurate data points due to mismatches. To address the issues I encountered, I used the calculation tool in the attribute table menu, which provided valuable insights into the data. I practiced applying geocoding processes using zip codes, which helped me visualize how geocoding can effectively illustrate the concentration of a specific feature in a given area.

Chapter 9 

This chapter introduced me to various analytical methods that can be used for multiple purposes. The four methods covered are buffers, service areas, facility location models, and clustering. The buffer tool helps identify features within a specific radius. In lessons 9.1 and 9.2, I applied my knowledge of the pairwise buffer tool using data from 32 pools to estimate the number of children aged 5 to 17 living within a radius of 0.5 to 1.5 miles. Lesson 9.2 focused on teaching me how to use a multiple-ring buffer, which enhances the capabilities of the buffer tool. I learned that the purpose of the multiple-ring buffer is to focus on different features that fall within the specified distances of the buffered feature. Service areas are essential when I am working on a map that focuses on travel data.

Chapter 4

Chapter 4 taught me how to organize further and modify attribute data using a map. I can remove unnecessary fields and calculate new values, which can lead to joining tables and make data easier to analyze. This skill is important for future work with GIS because I can zoom in on data in large map work.

Chapter 5

Chapter 5 introduces different types of spatial data and how to convert them into different formats. Some of the files I worked with include shapefiles, XY coordinates and KML files, which allow for different sources to be combined and displayed accurately on a map.

Chapter 6

The lessons in Chapter 6 taught me how to combine, add, and analyze various geographic datasets. I learned to use new tools such as Merge, Dissolve, and Intersect. These tools will be beneficial in the future when I want to streamline the amount of data I am working with

Data Inventory

1.  Annexation:  Published monthly and consists of all of the annexations and boundaries from 1853 to now.

2. Street Centerline – A layer in the GIS map that shows the center of the roads in Delaware County.

3. Recorded Document – Points of data representing documents in Delaware County not included in subdivision plats that are active. Data is facilitated in a process of locating miscellaneous documents.

4. Survey – A shapefile including point coverage representing surveys of land in Delaware County.

5. GPS – Identification of points established between 1991 and 1997 and is published monthly.

6. Subdivision – Data consists of condos and subdivisions recorded in Delaware County Recorder’s Office. Data is updated daily and published monthly.

7. School District – Data holds all of the School Districts within Delaware County.

8. Tax District – This data set consists of all tax districts within Delaware County and is defined by Delaware County Auditor’s Real Estate Office.

9. Parcel – This dataset consists of polygons that represent all cadastral parcel lines within Delaware County, Ohio. The cadastral geometries are maintained by the Delaware County Auditor’s GIS Office.

10. Township – The dataset includes 19 different townships making up Delaware County and is updated on an as-needed basis.

Chapter 1

Chapter 1 introduced some of the commonly used tools for representing data in GIS. Symbology is used to represent specific layers or areas on a map and helps make different features easier to identify. In this chapter, I learned how to change the type of symbol used to represent different features on a map. I also learned how to label features such as cities, parks, healthcare centers, and other locations. These tools helped me better understand how data can be organized and displayed in a way that makes a map easier to read and understand. Map features can be sorted by their attributes, making it easier to find specific types of data. When locations are deselected, GIS removes the symbol for that location from the map. This allows map viewers to save time by using the attribute table to quickly find and select specific data.

Chapter 2

In this chapter, I learned different ways to manage large amounts of data efficiently and organize it more effectively on a map. I learned how to use definition queries and apply SQL logic to create specific filters that target certain points of data. This showed me that GIS can be used to analyze not only entire populations but also specific age groups or other characteristics within a population. One example I practiced was creating a filter to identify people over the age of 60 who receive food stamps. I then limited the layers on the map so that this specific data appeared as the top layer. This helped me better understand how GIS can focus on specific groups within larger datasets and display information clearly and organizedly.

Chapter 3

Chapter three provides a fundamental skill for GIS work. This chapter focuses on specific layouts for distributing and publishing maps. I learned how to add map data to a web map form and create legends with specific data points. This allowed me to take a copy of an interactive map and copy it to ArcGIS StoryMaps. StoryMaps is software that reminded me of making a website because of the elements that could be added and the different templates I could work with.

Map density shows distinctive patterns, clearly making locations easier to find. 

Map 1 shows the locations of businesses individually

This is the density surface showing the concentration of  where businesses are in the specific area

You can map defined areas in multiple ways using GIS. Dot maps present individual locations or things and each dot can represent a specific number of features. The dots are placed randomly and aren’t the most precise data. Dots packed closely together are more densely populated than dots scattered far from each other. Dot maps are useful when many features can be clumped or grouped and shown in a defined area to keep the map easy to read.  Maps created and shown as density surfaces are done using raster methods to provide detailed information. Each cell in the layer gets a value and based on the overall values in the defined area, the density is determined. A density surface is created from individual locations or linear features. Choosing either of these methods works depending on what data is given and how specific the information needs to be presented. 

In GIS, to create a density surface, start by inputting a search radius for a neighborhood to be defined. GIS totals the individual feature values and divides by the neighborhood area based on the radius. Cells are typically between 10 and 100 cells per density unit. Cell size determines how fine a pattern appears and smaller cells will appear smoother and take more time to process. Bigger cells take less time to process data but are coarser-looking and have a higher chance of losing patterns in the process. Search radius can result in how general the patterns can appear. With a larger search radius, GIS generalizes the patterns and considers more features. 

Two methods are used to calculate cell values. The simple method is to only count the features included in the search radius with a value. The result is a series of rings that overlap each other. The second method is more complicated but provides a clear, precise density surface. Every cell in the layer is counted and given a value, resulting in a smoother, more generalized density surface. Density surfaces are represented either as colors or contours. Graduated colors are used to clearly show patterns and distinguish each density value and contour lines connect points of equal density on top of the map. Using contour lines, equal points of interval have to be applied in order for the lines to be spaced and readable. 

Chapter 5

     Knowing what is happening inside the map makes it easier to understand where action needs to be taken. This allows people who are reading and analyzing the map to compare areas to each other and see where there is more or less of something. Determining how many areas are being analyzed is important because it determines how many features are being looked for. Single areas may include fewer features and broader topics and is the preferred method if there is only one focus topic. Studying multiple areas at once is usually because features are being compared across a region.  GIS can provide information in list, count or summary form of features shown in a specific area. Analysts can create a summarized list of features in a specific area and it is mostly used to focus on the number of features in one or more areas or to select specific features in the area and GIS checks the location of each feature to and ensure it isn’t in the area. Another method of finding the features inside of a map is overlaying the areas and features by combining the area and features into one layer and then comparing to another area. 

     GIS can also be used to create reports of selected features. When a radius is set inside of a single area, GIS can provide a total count of specific features selected inside of the radius. GIS can also provide the frequency when given a range of values of features inside the area, displayed as a table.  The table can be represented as a bar or pie graph and summarized data. Summarized data can be created by categories or values and being as specific as possible and noting the variations in areas that can be tricky for GIS software to differentiate while summarizing data. 

     Summarized data can be compared between two areas based on the particular statistics or results. Tables can be created and merged together per area and some GIS softwares can even automatically do this. Tables can be created into bar charts which creates a visualization to compare real time data of two or more areas.

Chapter 6

• Straight-line distance – Using specified sources and distance, GIS finds the area and surrounding features within the distance. This method is used primarily when boundaries are a set parameter, or there is a set distance around a feature.

• Distance or cost over a network – Specific source locations and distance or travel cost along linear features. GIS uses this approach for finding what’s within a travel distance or cost of a location.

• Cost over surface – You specify the location of the source features and travel cost. This approach is good for calculating overland travel cost. GIS creates a new layer showing travel costs with a range of distances.

Chapter 1

     Spatial Data has grown tremendously outside of the scientific world, becoming available to many other sources. GIS answers questions about why things are done the way they are and how they are related. There are two ways to evaluate spatial data, depending on the question being asked and how the information will be used. The first method contains the bigger-picture kind of information and is quicker to access, and the other kinds of methods require more digging and time to process the more specific information. The information found is typically present in many different ways, like tables, maps, etc. Depending on how information is presented, the data is either valid or useful, or it will say that more digging is needed.​

      To use GIS effectively, users should understand the types of geographic features represented in the software. Features on a map can be described as discrete, continuous, or summarized phenomena. Discrete features, such as specific locations, are depicted as lines or dots depending on the settings. Continuous phenomena, like weather patterns such as precipitation and temperature, are measured through equally spaced data points with no visible gaps. GIS software applies a process called interpolation to assign values to areas between these points. Continuous data can also be represented by enclosed boundaries (such as those showing soil or vegetation types), which are used to illustrate large, uniform areas of the landscape. However, these boundaries are not as definitive as discrete features. Features summarized by area primarily indicate the density within a specific boundary—for example, the number of businesses in a zip code or the number of houses within a certain radius.

      Geographic features are shown through two different models, vector and raster. In a vector model, features are displayed in a table and buildings are represented as x,y locations connected with dashed lines. Raster models are presented as a matrix of cells by layer. Each layer is a specific attribute. Cell size is vital to an accurate map because if the size isn’t perfect, then information is lost. 

     There are five different types of attribute levels. These are types of attributes that determine how each feature is analyzed determines what level to use.

Different levels of attributes:

1. 1.  Categories – Groups of different features that are alike in some way and are represented in code or numbers.
   2.  Ranks – Features are put in order from highest to lowest and used when features are hard to distinguish
   3.  Counts – The count is the actual number of features on a map
   4.   Amounts –  The quantity connected to a feature
   5.  Ratios – Comparing two quantities by dividing one by the other

Chapter 2

     Chapter 2 focuses primarily on how and why features are placed where they are placed. Viewing a map now is much clearer to me because chapter helps me understand how to find patterns throughout a map. The map features are always determined based on how the information is presented and how the map is used. For instance, the police department tracks where crimes are committed and what types using GIS to better monitor high crime areas each month.  Prior to placing features on a map, all features included will have geographic coordinates as longitude and latitude values and be identified as a type (must fall into a category). Mapping can occur as a single type because GIS will use the same kind of symbol and suggest that this map can be explored further. As features are added, GIS will use the applied coordinates to create lines or areas to define shapes for specific areas or smaller / single features will be drawn as a symbol defined by coordinates. Instead of laying all of the features in one layer, smaller patterns can be revealed by creating a subset which can only be represented in an underlying layer instead of just one big layer.

     When one map has a multitude of categories, it is suggested that groups are created to sort the categories into smaller sets of data.

Option 1: Assign each record 2 database codes. One for detailed category and the second for  its general category

Option 2: Create a table containing one record for each category corresponding to its general code. Once the map is ready to be displayed, the table and map will be linked together showing general codes with the features. 

Option 3: Assigning categories by specifying the correlated symbol to go with it. Mostly used for single locations

Chapter 3

     Mapping areas with the highest and lowest concentrations of specific variables is invaluable for businesses in strategic planning and market analysis. For instance, when a physician’s office considers expansion, mapping the ratio of people per existing office per mile can highlight underserved regions. This helps ensure a new location addresses real gaps in access, which increases the likelihood of success and optimizes resource allocation.   

     Understanding the three types of map features—discrete, continuous, and summarized—enhances how landscapes and demographic data are visualized. Discrete features pinpoint specific locations or boundaries, continuous features represent gradients like population density, and summarized features aggregate information over defined areas.

     Standard classification schemes are essential tools in GIS for grouping similar data points, revealing underlying patterns, and making complex data more interpretable. These schemes rely on how the data are distributed. When data points are evenly distributed, classifications such as equal intervals or quantiles can be used for clear, balanced mapping. Charts and histograms help visualize this distribution. If the data have natural groupings or outliers, methods like natural breaks (Jenks optimization) are preferable, as they better reflect the true structure of the data.

     Using GIS becomes more straightforward when data is evenly distributed, as outliers and skewed distributions can complicate analysis and visualization. Careful selection of classification methods ensures more accurate, meaningful maps that support better business decisions.

     There are five ways to show quantities using GIS software: 

1. 1. Graduated symbols – includes locations, lines and areas and is best used for minimal featured maps
   2. Graduated colors – includes areas and continuous phenomena and makes patterns easy to read
   3. Charts – Used for specific locations within an area to show categories and quantities
   4. Contours – Used to represent rate of change across large parts of area
   5. D perspective views – Adds visual impacts throughout the map

Part 1

I completed the GEOG 291 quiz and reviewed the syllabus and schedule.

Part 2 Introduction

     My name is Mia Boldman, majoring in Zoology and Environmental Science. I am from Huron, Ohio and I am a junior at Ohio Wesleyan. I am interested in conducting research in national parks focused on conservation efforts tMy name is Mia Boldman, and I am majoring in Zoology and Environmental Science. I am from Huron, Ohio, and I am a junior at Ohio Wesleyan. I am interested in conducting research in national parks focused on conservation efforts to restore wildlife populations. Taking GEOG 291 will help me understand this important resource, which can track environmental changes and provide vital information about ecosystems within protected areas such as national parks. o restore wildlife populations. Taking GEOG 291 will help me understand this important resource, which can track environmental changes and provide vital information about ecosystems within naturally protected areas such as national parks. 

Part 3 Schuurman Ch. 1

     I have heard of geospatial analysis before, but I never knew how many different aspects of life GIS can be useful in. It surprised me that GIS is used in so many different ways, from different kinds of scientists to big corporations such as Starbucks and car companies. Seeing GIS being used by city officials is interesting because GIS provides information on where properties lie in the area, from residential to industrial, and which ones are impacted by construction. This is just one example that shows GIS makes such a big impact today and in our everyday lives.

     I learned that there are three distinctions between GIScience and GISystems. The distinctions between these are very close, and data can be misrepresented. GISystems are processes for outputting data and digital coding, where classification comes at the end. There tends to be some debate regarding what the spatial data shows, which causes heated discussion on what the parameter should be for spatial objects. There is a major disagreement on what boundaries are created between the spatial objects. For instance, the discussion on what the boundary for mountains is a heated conversation for all parties involved because a mountain ranges from small to extremely large, and the boundary can have a small range like up to 1,000 m or a bigger range like up to 5,000 m. On the other hand, GIScience provides the theoretical basis for what is executed. It is also reliant on spatial data, but it refines the boundaries to have equal bearings. All of the boundaries drawn always provide a different result based on levels of aggression.

Part 4 Applications

     GIS applications are used in a variety of ways in conservation. Researchers will use spatial analysis to track the migration patterns of specific species to find new ecosystems around the world. Scientists will use GIS to assist with where and how protective measures are applied in habitats. 

Null. “WCS Canada Story Maps Collection.” ArcGIS StoryMaps, Esri, 5 Dec. 2022, storymaps.arcgis.com/collections/557d7b52083349068a747affd5a1420c?item=4.