week 7

Address Point-Data of all the registered building addresses in Delaware County. Specially accurate for reports.

Annexation-Displays all boundaries within Delaware County from 1853 onwards.

Building Outline-Represents the physical outlines of all buildings in the county.

Condo-Locations of all condominium complexes in the county.

Dedicated ROW-Indicates all right-of-way locations in Delaware County.

Delaware County Contours-Provides a 2-foot elevation map of the county.

Delaware County E911 data-Offers address points for emergency response purposes. Updated regularly.

Farm Lot-Shows all farm lots divided by US military and Virginia military survey distinctions.

GPS-Identifies all GPS monuments within the county.

Hydrology-Depicts major waterways flowing through Delaware County. Updated as needed.

MSAG-Lists all 28 townships within Delaware County.

Map Sheet-Displays all map sheets available for Delaware County.

Municipality-Highlights all political subdivisions within the county.

Original Township-Defines the original boundaries of the townships before tax district changes.

PLSS-Represents public land divisions within Delaware County.

Parcel-Shows cadastral parcel lines indicating real estate ownership and taxation.

Precinct-Indicates voting precincts, updated periodically.

Recorded Document-Identifies the location of various official documents recorded in the county.

School District-Displays the boundaries of school districts within Delaware County.

Street Centerline-Provides a roadmap of public and private roads within the county.

Subdivision-Represents both subdivisions and condominium complexes in the county.

Survey-Indicates various land surveys conducted within the county.

Tax District-Shows all divisions within tax districts, updated as needed.

Township-Depicts all townships within Delaware County.

Zip code data-Lists all zip codes within Delaware County, regularly updated.

week 6

Chapter 9

9.1 – Explored the utilization of buffers for proximity analysis, involving operations such as running the pairwise buffer tool, selecting block centroids within buffers, and aggregating population data.

9.2 – Learned the intricacies of creating and implementing multiple-ring buffers and leveraging spatial overlay to obtain statistics based on buffer areas.

9.3 – Got into the creation of multiple-ring service areas essential for calibrating a gravity model. This involved generating service area polygons, spatially joining areas, pooling tags, calculating pool use statistics, creating scatterplots, and fitting curves to gravity model data points.

9.4 – Gained insights into utilizing network analyst to locate facilities and analyze optimal solutions within a given network.

9.5 – Explored data cluster analysis techniques and the interpretation of resulting clusters.

Chapter 10

10.1 – got into raster datasets, examining their properties, importing them into a file geodatabase, setting up the geoprocessing environment for raster analysis, and performing operations such as extracting land use and symbolizing raster datasets.

10.2 – Explored the creation of density heat maps, studying project locations, utilizing Kernel Density Smoothing (KDS), creating threshold contour layers, and estimating data rates from threshold areas.

10.3 – Engaged in building a risk index model, exploring project areas, standardizing input attributes, configuring geoprocessing environments, constructing models, setting up kernel density processes, and symbolizing resulting raster layers.

Chapter 11

11.1 – Explored global and local viewing models, navigating scenes, changing basemaps, applying visual enhancements, and understanding elevation surfaces.

11.2 – Learned to create local scenes, construct TIN surfaces, manipulate surfaces, and alter TIN symbology.

11.3 – Investigated the creation of z-enabled feature classes, digitizing data on surfaces, and displaying data realistically in 3D.

11.4 – Explored the creation of features and line-of-sight analysis using lidar data, generating DSM and DTM surfaces, creating nDSM raster surfaces, determining building heights, and conducting line-of-sight analysis.

11.5 – Delved into working with 3D features, extruding floors, visualizing building floors, and editing building heights dynamically.

11.6 – Explored procedural rules and multipatch models for creating 3D content, applying building rules, and viewing multipatch models.

11.7 – Learned to create animations, add keyframes, manage transitions, and export movies from animations.

week 5

4.1 – Explored various methods of importing and moving data within GIS Pro. Messed up setting up my connection folder but got it fixed with tutor, the remaining steps were comprehensible.

4.2 – Expanded knowledge on modifying attribute tables and utilizing the fields view. Although the steps were clear, encountering difficulty with displaying the population under 20 in expressions was notable.

4.3 – Dug deeper into attribute queries, effectively narrowing down specific data. It was particularly fascinating to isolate individual instances within the crime data.

4.4 – A quick and straightforward chapter, continuing to manipulate attribute tables and reutilize earlier steps from the book.

4.5 – Continued learning new features within the toolbox, including further exploration of the symbology tool.

4.6 – Another brief chapter focusing on attribute tables. Struggled with executing a one-to-many join section.

5.1 – Successfully adjusted the type of world map, finding the process relatively straightforward.

5.2 – Working with US maps followed comparable concepts.

5.3 – Incorporated new layers into specific coordinate systems and altered coordinate systems, presenting an intriguing process overall.

5.4 – Managed to comprehend the vector data donation section

5.5 – Encountered complexity within this section, struggling to locate/import the three consensus shape files, hindering progress for the remaining tasks.

6.1 – Successfully dissolved certain features to illustrate smaller neighborhoods, finding this section lucid and accessible.

6.3 – Effortlessly merged water features using the merge tool.

6.4 – Grappled with comprehending the purpose of the append tool. Nevertheless, executing the directions to attribute tables with specific data appeared straightforward.

6.5 – Intersected features to discern fire zones, finding the overall process .

6.6 – Summarized values within Brooklyn neighborhoods, grasping the utilization of the join tables tool.

6.7 – A section utilizing the tabulate intersection tool to compare disabled populations across different fire zones.

7.1 – editing polygons, altering shapes, and splitting them, finding the section both simple and engaging.

7.2 – The creation and deletion of polygons, finding the section equally straightforward.

7.3 – Used the smooth polygon tool, appreciating its ease of use and satisfying results.

7.4 – Focused on transforming polygons, requiring numerous steps but ultimately achieving the desired outcome.

8.1 – Commenced basic geocoding, primarily utilizing zip codes as data, finding the overall process relatively straightforward.

8.2 – Explored geocoding, this time with street addresses, encountering no significant hurdles in this straightforward section.

Week 4

Chapter 1

In this chapter, we explore the foundational elements of ArcGIS, covering basic navigation and the art of symbolizing and labeling maps in both 2D and 3D formats.

1.1 Understanding Feature Classes:

Feature classes serve as the backbone of map visualization, providing vector data with associated attributes. While raster datasets create imagery through pixels, feature classes offer rich spatial information. Stored in file geodatabases with basemaps, they enhance geographical context.

1.2 Navigating ArcGIS:

Efficient navigation involves using attribute values to search for features and employing tools like spatial bookmarks for quick access. Attribute manipulation allows for nuanced data analysis, including summary statistics computation.

1.3 Mastering Attribute Manipulation:

Attributes provide crucial contextual information for maps. ArcGIS enables users to manipulate attributes, reorder columns, and compute summary statistics with ease.

1.4 Enhancing Symbolization:

Symbolizing features involves altering colors, sizes, and shapes for effective communication. The use of 3D visualization is particularly impactful in urban contexts.

Chapter 2

This chapter explores advanced mapping techniques, including thematic maps, text management, symbolization techniques, and spatial analysis.

2.1 Exploring Thematic Maps:

Thematic maps highlight specific subjects within a spatial context, using lighter colors to reduce visual clutter.

2.2 Managing Textual Elements:

ArcGIS offers tools for managing labels and pop-ups, facilitating enriched map narratives. Definition queries enable targeted data exploration.

2.3 Perfecting Symbolization:

Symbolization choices enhance interpretability. Differentiation through shape variations ensures inclusivity, while classification methods like Natural Breaks and Quantiles enrich spatial analyses.

2.4 Precision Mapping:

Precision is essential in crafting visually compelling maps. ArcGIS offers tools for refining numeric attribute classes and utilizing advanced extrusion techniques for 3D mapping.

2.5 Innovating Mapping Techniques:

Dot density maps offer a versatile approach to visualizing data. Visibility ranges ensure seamless map interactions across zoom levels.

2.6 Leveraging Spatial Analysis:

Spatial analysis enables users to derive actionable insights from geospatial data. Normalizing population data facilitates comparative analyses.

2.7 Dynamic Mapping:

Advanced visualization techniques, including dynamic symbology and interactive elements, enhance user experiences. Augmented reality capabilities open new frontiers for spatial exploration.

2.8 Data Visualization:

Charts serve as powerful tools for elucidating complex patterns and trends. ArcGIS offers diverse charting options for crafting compelling narratives.

Chapter 3

This chapter focuses on crafting engaging map layouts, sharing maps online, and creating immersive narratives with ArcGIS Story Maps.

3.1 Designing Map Layouts:

Effective map composition is crucial for conveying information clearly. ArcGIS provides intuitive tools for creating visually compelling layouts.

3.2 Sharing Maps Online:

Sharing maps online facilitates collaboration and dissemination of information. ArcGIS simplifies the process of publishing maps online, fostering greater engagement.

3.3 Creating Immersive Narratives:

ArcGIS Story Maps enable users to weave interactive maps, text, images, and videos into captivating narratives. Users can create compelling stories that resonate with their audience.

Hornacek Week 4

Charlie Hornacek

Chapter 4:

In Chapter 4, the focus is on mapping density and the various methods to achieve this. Density mapping is crucial for identifying patterns and groups within a given space, rather than analyzing individual data points. One approach discussed is mapping by defined areas, using dots to represent features. However, to avoid clutter, dots can be redistributed within specific areas, offering insights into which areas are more densely packed. Alternatively, density surface maps, utilizing raster cells, measure the number of features within a certain radius, assigning values and colors based on the concentration. The chapter also emphasizes the importance of choosing appropriate class ranges for natural breaks and quantile methods, which may seem exponential or arbitrary.

Chapter 5:

Chapter 5 delves into mapping areas, aiming to determine the best locations for specific purposes or understand the proximity of one element to another. Two main types of values, discrete and continuous, are assigned to features. Discrete features are clearly separated, while continuous features form a continuous path. The chapter explores methods to find what is within an area, such as drawing areas/features, selecting certain features, or overlaying areas/features. Each method has its applications, whether for firefighting strategies or legal considerations like property lines. The chapter highlights the versatility of mapping based on what’s happening inside an area, providing valuable insights for various applications.

Chapter 6:

Chapter 6 focuses on mapping things within a certain distance or time of a location, taking into account the complexity of factors like transportation infrastructure and terrain. Straight-line distance, buffer techniques, and the consideration of Earth’s curvature are discussed. The chapter introduces the concept of buffers around lines or shapes, offering flexibility for different classes of points/lines/shapes. The ability to determine distances across networks and analyze travel costs, especially for roads, adds a practical dimension to spatial analysis. The chapter also touches upon the simplicity of the algorithm for determining distance across networks, emphasizing the importance of accounting for real-world factors in mapping.

Hornacek Week 2

Charlie Hornacek


The initial exposure to GIS in Chapter 1 provides a foundational understanding of its processes. The step-by-step breakdown of GIS, akin to the scientific method, introduces you to the generic process involved. The distinction between discrete and continuous features on GIS maps is explained, along with their representation using vector and raster models. along with the concept of attribute values, categorized into five types, adds depth to the understanding. The chapter concludes with a discussion on data tables, emphasizing the practical aspect for better comprehension.


Chapter 2 talks about the significance of mapping within GIS analysis. The chapter emphasizes that maps can be powerful tools for recognizing patterns and addressing specific questions. Different mapping methods, such as mapping with a single type of method or mapping by category, are explored. The chapter provides insights into the importance of understanding the audience when creating maps and the challenges associated with choosing symbols and determining map size. Overall, it underscores the practical aspects of mapping within the GIS framework.


Chapter 3 builds on the mapping concepts introduced earlier, focusing on mapping quantities and classifications. It revisits the notions of discrete and continuous mapping, along with a detailed exploration of attribute values like counts, ratios, amounts, and ranks. The introduction of standard classification schemes, such as natural breaks and standard deviation, adds complexity. The chapter also talks about the trade-off between accurate representation and generalization for pattern recognition, emphasizing the importance of dealing with outliers in the mapping process.

Hornacek Week 1

My name is Charlie Hornacek, I am a junior, studying environmental science and a minor in zoology. I enjoy cooking, playing football, and enjoying time with friends. I took this course as I thought it would be able to help have better understanding of then environment and give me good experience for later in my career as I would love to work as a park ranger or in the national parks. 

 As someone who is new to the GIS system , I found the information presented in  “Introducing the Identities of GIS”  to be useful in establishing a foundation for further learning. The various identities of GIS, including GIScience and GISystems, were explained in detail, making it easier for me to understand the different aspects of GIS technology. I also found it interesting to learn about the history of GIS and everything that was involved with its development. One of the more informative  sections for me was the discussion on the importance of visualization in GIS analysis. Understanding the relevance of visual display and its ability to help me reach conclusions about factors affecting different cases. I had never really considered how a visual representation of geographic information could significantly impact decision making. The distinction between GIScience and GISystems was also helpful in clarifying the roles of each in GIS analysis. Making this clear is helpful for someone stating out fresh trying to learn.

The First topic I was interested in was the population of gray wolves in the United States as I have done a research project over the group of wolves at the Columbus Zoo which gave me a better understanding and a valued interest in this animal. So I was wondering if you could track the progress of the animals in the wild as this is a recovering species in the United States. 



The second topic I thought was interesting is invasive species as their is so many and is such a broad topic you have plants, animals, fungus I was wondering how gis could be used to maybe interpret the movements of these animals and use it to predict and stop the invasive species before they could get to a new environment.