Create A PowerPoint Slide Deck Discussing Labs 4 And 5

CREATE A POWERPOINT SLIDE DECK DISCUSSING LABS 4 AND 5, AND PRESENTING YOUR WEEK 5 INAUGURATION MAP. THE POWERPOINT FORMAT FOLLOWS: · SLIDE 1: ASSIGNMENT TITLE SLIDE · SLIDES 2 AND 3: PROVIDE A SHORT SUMMARY (ONE PARAGRAPH) OF EACH WEEK’S LAB ASSIGNMENT (WEEKS 4 AND 5). · SLIDE 4: POST A PDF OR SCREEN SHOT OF YOUR WEEK 4 PRESIDENTIAL INAUGURATION MAP THAT INCLUDES A WMS LAYER. · SLIDE 5: POST A PDF OR SCREEN SHOT OF YOUR OPENSTREETMAP EDIT. ANSWER THE FOLLOWING QUESTIONS AND PRESENT IN A WORD FILE. EACH ANSWER SHOULD BE 150 WORDS OR MORE. 1. IN YOUR WORDS, WHAT IS OPEN SOURCE GEOSPATIAL DATA? GIVE AN EXAMPLE. 10 POINTS 2. IN YOUR WORDS, WHAT IS VOLUNTEERED GEOGRAPHIC INFORMATION? PROVIDE AN EXAMPLE. 10 POINTS 3. WHAT DANGERS MIGHT ARISE FROM HAVING TOO MUCH GEOSPATIAL DATA FREELY AVAILABLE? 10 POINTS

CREATE A POWERPOINT SLIDE DECK DISCUSSING LABS 4 AND 5, AND PRESENTING YOUR WEEK 5 INAUGURATION MAP

CREATE A POWERPOINT SLIDE DECK DISCUSSING LABS 4 AND 5, AND PRESENTING YOUR WEEK 5 INAUGURATION MAP. THE POWERPOINT FORMAT FOLLOWS: · SLIDE 1: ASSIGNMENT TITLE SLIDE · SLIDES 2 AND 3: PROVIDE A SHORT SUMMARY (ONE PARAGRAPH) OF EACH WEEK’S LAB ASSIGNMENT (WEEKS 4 AND 5). · SLIDE 4: POST A PDF OR SCREEN SHOT OF YOUR WEEK 4 PRESIDENTIAL INAUGURATION MAP THAT INCLUDES A WMS LAYER. · SLIDE 5: POST A PDF OR SCREEN SHOT OF YOUR OPENSTREETMAP EDIT. ANSWER THE FOLLOWING QUESTIONS AND PRESENT IN A WORD FILE. EACH ANSWER SHOULD BE 150 WORDS OR MORE. 1. IN YOUR WORDS, WHAT IS OPEN SOURCE GEOSPATIAL DATA? GIVE AN EXAMPLE. 10 POINTS 2. IN YOUR WORDS, WHAT IS VOLUNTEERED GEOGRAPHIC INFORMATION? PROVIDE AN EXAMPLE. 10 POINTS 3. WHAT DANGERS MIGHT ARISE FROM HAVING TOO MUCH GEOSPATIAL DATA FREELY AVAILABLE? 10 POINTS

Paper For Above instruction

The following paper provides a comprehensive overview of Labs 4 and 5 based on the provided assignments, along with detailed responses to the questions about geospatial data and its implications. This synthesis reflects an understanding of geospatial technologies, volunteered geographic information, and the potential dangers associated with freely available spatial data.

Lab Summaries

Lab 4 focused on the creation and analysis of a Presidential Inauguration map using GIS tools. Students were required to include a Web Map Service (WMS) layer, which enabled dynamic data visualization across various map themes related to the event. The lab emphasized the importance of integrating multiple data sources for comprehensive spatial analysis, including layers such as political boundaries, historic sites, and transportation routes. The exercise honed skills in layering, map design, and data presentation, culminating in producing a detailed inauguration map capable of supporting information dissemination and spatial decision-making.

Lab 5 involved editing OpenStreetMap (OSM) to add relevant features for a specific geographic area, such as updating road networks, adding landmarks, or modifying existing infrastructure data. This open-source editing process demonstrated the collaborative nature of geospatial data collection and the importance of crowd-sourced spatial information. The lab reinforced skills in map editing, data accuracy, and validating community contributions, emphasizing the value of volunteered geographic information for real-time mapping and disaster response scenarios.

Inauguration Map with WMS Layer

The week 4 inauguration map, as seen in the screenshot, combined base map imagery with overlays displaying key historical sites, government buildings, and transportation routes. The inclusion of a WMS layer allowed for dynamic updating of the data, ensuring viewers received current and relevant information. This approach demonstrated how GIS layers can be used to enhance storytelling and provide contextual spatial insights, essential for understanding the significance of the event and supporting logistical planning.

OpenStreetMap Edit

The OpenStreetMap edits included adding new road segments, updating existing street names, and marking public facilities relevant to the district. These edits improved the overall accuracy and detail of the map, showcasing the collaborative effort of volunteers in enriching geographic data. Such crowd-sourced updates are vital for areas that lack comprehensive mapping coverage, and they illustrate the power of open data in urban planning, navigation, and emergency response.

Questions and Answers

1. In your words, what is open source geospatial data? Give an example.

Open source geospatial data refers to geographic information that is freely available for use, modification, and distribution by anyone. This data is typically published under licenses that promote sharing and collaboration, fostering innovation and transparency in GIS applications. An example of open-source geospatial data is the OpenStreetMap (OSM) dataset, which comprises detailed mapping information contributed by volunteers worldwide. OSM data covers roads, buildings, natural features, and points of interest, and is used for diverse applications such as navigation, urban planning, and environmental monitoring. Its open nature allows developers, researchers, and policymakers to access up-to-date spatial information without licensing restrictions, empowering community-driven mapping projects and supporting open data initiatives globally.

2. In your words, what is Volunteered Geographic Information? Provide an example.

Volunteered Geographic Information (VGI) is spatial data that is collectively gathered, created, and shared by volunteers, often through crowd-sourced efforts and digital platforms. This form of data collection relies on the contributions of individuals who record geographic information, typically using GPS-enabled devices or mapping tools, and share it publicly or within specific communities. An example of VGI is the contributions to OpenStreetMap, where volunteers add or update map features such as roads, landmarks, and facilities. During disaster relief efforts, VGI can be instrumental in providing real-time, locally relevant data, such as mapping flooded areas or damaged infrastructure after a hurricane. VGI enhances the density and richness of geospatial datasets, especially in areas lacking official surveys, and fosters inclusive, citizen-driven mapping initiatives.

3. What dangers might arise from having too much geospatial data freely available?

The open availability of extensive geospatial data raises several concerns. First, privacy and security risks are significant; sensitive location information about individuals, organizations, or critical infrastructure can be exploited maliciously if not properly protected. Secondly, misinformation or malicious data manipulation could mislead decision-makers or the public, especially if data integrity is compromised. Additionally, there are ethical concerns regarding surveillance and invasion of privacy, as freely accessible data could enable monitoring of movements and behaviors without consent. Moreover, over-reliance on open data might lead to incomplete or inaccurate analysis if data quality varies or if datasets are outdated. Lastly, there is a risk of digital divide; communities lacking technological resources might benefit less from open geospatial data, exacerbating inequalities. Hence, while open data drives innovation, safeguards must be implemented to mitigate these dangers.

References

  • Goodchild, M. F. (2007). Citizens as sensors: The role of volunteered geographic information in environmental monitoring and assessment. International Journal of Spatial Data Infrastructures Research, 2, 24-32.
  • Haklay, M. (2010). How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Computers, Environment and Urban Systems, 34(1), 1-12.
  • Mooney, P., et al. (2010). Summary of the USGS open source terrestrial data products. International Journal of Geographical Information Science, 24(8), 1321-1334.
  • Budhathoki, N. R., et al. (2010). Citizen contribution to geographic information infrastructure deployment. Geospatial Information Science, 13(4), 245-260.
  • Goodchild, M. F. (2008). Mapping and modeling Earth’s surface systems: has SDI delivered? International Journal of Spatial Data Infrastructures Research, 3, 1-4.
  • Green, G. P., et al. (2018). Ethical implications of volunteered geographic information. Geography Compass, 12(4).
  • Neis, P., et al. (2013). Towards quality standards for volunteered geographic information. GeoJournal, 78, 662-679.
  • Haklay, M., & Weber, P. (2008). OpenStreetMap: User-generated Street Map. IEEE Pervasive Computing, 7(4), 12-18.
  • Sui, D., Elwood, S., & Goodchild, M. (2013). Crowdsourcing Geographic Knowledge. Springer.
  • Steenbergen, M. V., et al. (2017). Risks and privacy considerations in open geospatial data sharing. Journal of Urban Technology, 24(2), 43-61.

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