C. Allen - geoDBS -KSU - Term Project Presentation - SHOULD I STAY or SHOULD I GO?
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This document provides instructions and information for building a geodatabase in ArcGIS, including defining projections, fields, and flood zones. It discusses when to use the Define Projection and Project tools, and compares projecting versus defining projection. Examples of attribute tables and field types are provided. The document also presents a case study of a user ("Teri") searching for a future home in South Florida within budget and commute constraints using geoprocessing tools.
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C. Allen - geoDBS -KSU - Term Project Presentation - SHOULD I STAY or SHOULD I GO?
- 1. Source: YOU TUBE MUSIC| 1 Hover mouse on image. Play Controls appear. Locate the play button here.
- 2. SHOULD I STAY OR SHOULD I GO? C. TERI ALLEN GEOG 69083 – geodatabase Summer 2018 CAllen51@kent.e du 2
- 3. 1. Should I stay or should I Go? 2. Building a geoDatabase 3. Maps 4. Analyses & Model Builder 5. Conclusion & Answer Image Source: PAGE NAVIGATOR 3
- 4. Image Source: Storm surge causes flooding. How does a storm surge develop? Wind speed, storm direction and ocean shelf slope affect the severity of a surge. For example, South Florida East coast has a shelf of only 2km wide before its continental slope (see Figure 1). The recent hurricane Irma left South Florida inundated. It made landfall at Key West as a Category 4 hurricane with a maximum sustained wind speed of 130mph. However catastrophic, some residents were not prepared to evacuate nor aware of their flood zones. Environmental changes, new construction, or recurring weather patterns can change flood zone rating (Hanley, 2013). However, house pricing is not affected by flood zone. Why will a buyer or renter pay an inordinate amount of money on a flood zone property? Hurricane season is back again. Should a resident stay or go? 4
- 5. Image Source: 5 Figure 1 – Bathymetry of the Florida Shelf (https://coastal.er.usgs.gov/flash/index.html)
- 6. http://googlemapsmania.blogspot.com/2017/10/working-with-map- 6 Projection Face is a great illustration of the distortions created by different map projections. It shows how different map projections effect our view of the world, by showing each projection's effect when applied to something very familiar, like the human face [MapsMania, 2017]. Building a Geodatabase >The Projection Face
- 7. 7 ArcGIS 10.5.1>ArcToolBox>Data Management>Projection & Transformation> DEFINE PROJECTION vs PROJECT When to use define projection Building a Geodatabase >Define Projection vs ProjectIf we have undefined data • Undefined data added to ArcMap has no spatial reference. Warning dialog box will display “unknown” spatial reference Data with coordinate values • It is possible to have data that has a CS and still needs to be defined, otherwise “unknown units” displays in the warning box Data with associated GCS • Data with GCS units displayed with “decimal degrees” [DD or DMS] still need to be defined because the LAT/LON has angular units
- 8. 8 ArcGIS 10.5.1>ArcToolBox>Data Management>Projection & Transformation> DEFINE PROJECTION vs PROJECT When to use project Data with defined projection • Once data is defined, that is, it is assigned a CS. Use Project Tool to change from one coordinate system to another. Source: Krishnan, 2013 LET’S TAKE A LOOK AT THE ACTUAL DATA USED Building a Geodatabase >Define Projection vs Project
- 9. 9 Building a Geodatabase >Flood Zone Flood Zone What does it mean?* A Zone A is the flood insurance rate zone that corresponds to the 100-year floodplains that are determined in the Flood Insurnce Study by approximate methods. Because detailed hydraulic analysesare not performed for such areas, No Base Flood elevations (BFE's) or depths are shown within this zone. Mandatory flood insurance purchase requirements apply. AE Zone AE is the flood insurance rate zone that corresponds to the 100-year floodplains that are determined in the Flood Insurance Study by detailed methods. In most instances, Base Flood elevations (BFE's) derived from the detailed hydraulic analyses are shown at selected intervals within this zone. Mandatory flood insurance purchase requirements apply. AH Zone AH is the flood insurance rate zone that corresponds to the 100-year shallow flooding with a constant water-surface elevation (usually areas of ponding) where average depths are between 1 and 3 feet. The Base Flood Elevation (BFE's) derived from the detialed hydraulic analyses are shown at selected intervals within this zone. Mandatory flood insurance purchase requirements apply. VE Zone VE is the flood insurance rate zone that corresponds to the 100-year coastal flood plains that have additional hazards associated with storm waves. Base Flood Elevations (BFE's) derived from the detailed hydraulic analyses are shown at selected intervals within this zone. Mandatory flood insurance requirements apply. D Ares with possible but undetermined flood hazards. No flood hazard analysis has been conducted. Flood insurance rates are commensurate with the uncertainty of the flood risk. X Zone X is the flood insurance rate zone that corresponds to areas outside the 100-year floodplains, areas of 100-year sheet flow flooding where average depths are less than 1 square mile, or areas protected from the 100-year flood by levees. No base Flood Elevations (BFE's) or depths are shown within this zone. 0.2 PCT Annual An area inundated by 0.2% annual chance flooding. No Base Flood Elevations or Chance Flood Hazard depths are shown within this zone Insurance purchase is not required in these zones. Open Water Open water: large lakes, bay, ocean. * Definitions were provided by FEMA
- 10. 10 Building a Geodatabase >Fields Field Legend Description Sample Listing Item Item number 12 Lat Latitude 25.697265 Lon Longitude -80.967170 MLS Multiple Listing Service number A10475556 Z_HomeID Zillow property number 79856005 Parcel_Number Parcel number 940360910100 Prop_Name Name of the property Hideaway Street Street address 7901 SW 64th Ave Unit_Number Unit number 10 Floor 1st, 2nd & up 1 ZipCode Zip code 33143 SubUrb Cities around Miami SM Home_type Town house, condo, apartment, multi family condo BedRm Number of bedroom 1 BathRm Number of bathroom 1 SqFt Floor area 451 YrBuilt Year built 1962 reMdL Remodeled or not, year remodeled 2014 2018_Rent Current rental cost 1250 2013Z_Est 2013 Zillow estimated housing value based on surrounding homes 1150 2014Z_Est 2014 Zillow estimated housing value based on surrounding homes 1200 2015Z_Est 2015 Zillow estimated housing value based on surrounding homes 1400 2016Z_Est 2016 Zillow estimated housing value based on surrounding homes 1300 2017Z_Est 2017 Zillow estimated housing value based on surrounding homes 1450 Elev_Ft Elevation in feet 7 Crime Crime rate 1 Website Source website used Zillow
- 11. 11 ArcGIS 10.5.1>ArcToolBox>Data Management>Projection & Transformation> PROJECT vs DEFINE PROJECTION Building a Geodatabase >Project vs Define Projection
- 12. 12 Building a Geodatabase >Project vs Define Projection ArcGIS 10.5.1>ArcToolBox>Data Management>Projection & Transformation> PROJECT vs DEFINE PROJECTION
- 13. 13 Building a Geodatabas e >Teri’s Future Home ArcGIS 10.5.1>ArcToolBox>Data Management>Projection & Transformation> PROJECT vs DEFINE PROJECTION
- 14. 14 Image Source: https://www.voglioviverecosi.com/luciano-lavorare-al-piacevole- Map> Florida Vintag e Post Card
- 15. 15 Image Source: https://www.voglioviverecosi.com/luciano-lavorare-al-piacevole- Map> SoFLO Beach Life HOW MUCH IS IT TO LIVE THE BEACH LIFE IN SOUTH FLORIDA? Miami-Dade Median Household Income = $44,224 25% of Income = Rent = $11,056 What I can afford ($1000-1200) I have no choice ($1201-1500) Beyond my Means ($1501-2000) Map Design: C. Teri Allen. 2018
- 16. 16 Image Source: https://www.voglioviverecosi.com/luciano-lavorare-al-piacevole- Charts The first Refiner used is the 5- mile commute distance ArcGIS 10.5.1>ArcToolBox>Analysis Tools>Proximity>Near OR Point Distance
- 17. 17 Blue Mountain Image Source: https://www.clker.com/clipart-mountain-blue-logo.html |Old House Image Source: 1924 Chart >Tabl e
- 18. 18 Map> Getting There >Teri’s Future Home Refiners: 5 mi- Distance and $1500 Rent = 29 properties left
- 19. 19 Results >Teri’s Future Home Would be nice to have = 6!
- 20. 20 Map> >Teri’s Future Home> I Shall Go VERY SLIM! But YES there is HOPE. I SHALL MOVE TO CUTLER BAY MY WORKPLACE
- 21. 21 Model Builder >Don’t Sweat It>Mo-BuiL IT! 3 print (‘Hello, ModelBuilder!’)
- 22. 22 Model Builder >Teri’s Future Home Are you a Pythonista? Me? I am Syntax Error Queen
- 23. 23 Conclusio nTobler’s First Law of Geography: Everything is related to everything else, BUT near things are more related than distant things. MDC Empty Map Source: https://fcit.usf.edu/florida/maps/pages/10600/f10640/f10640-20.htm|Beach Icons Source:
- 24. 24 Learning = Mistakes + Errors I hope that you learnt something from this presentation. Mine was: “ Learning by mistakes. The harder it was, the deeper I learnt” .
- 25. 25 KSU Presenter I WOULD APPRECIATE IF YOU CAN SHARE WITH ME AND TELL ME WHAT I DID WELL, AND AREAS OF IMPROVEMENT.
- 26. Image Source: https://www.solvibrations.org/how-to-change-your- Carlos Rodriguez, GIS Analyst, Miami-Dade County IT-GIS Dept. Xinyue Ye, Assoc. Professor, Geography Dept., Kent State University, OH Anthony Welch, Real Estate Coordinator, Independent, Miami, FL Alex Sanchez, GIS-Biological Science Technician, USDA-ARS, Miami, FL 26
- 27. Bibme. 2018. How to cite a website in APA. Retrieved from http://www.bibme.org/citation- guide/apa/website/ Color calculator. (n.d.). Sessions College. Retrieved from https://www.sessions.edu/color-calculator/ Clarke, Keir, Oct 9 2017, Working with maps projection. Retrieved from http://googlemapsmania.blogspot.com/2017/10/working-with-map- projections.html Dean, James. (2017, May 3). Record attendance prompts new KSC visitor complex contract. Florida Today. https://www.floridatoday.com/story/tech/science/space/2017/05/02/ks c-extends-visitor-complex-contract/101217210/ Discover a place you’ll love to live. https://www.trulia.com/ Discover your perfect home. https://www.realtor.com/ 27 REFERENC ES
- 28. 28 DMS to DD converter. (n.d.). Rapid Tables. Retrieved from https://www.rapidtables.com/convert/number/degrees-minutes- seconds-to-degrees.html ESRI. 2018. An overview of geodatabase design. Retrieved from http://desktop.arcgis.com/en/arcmap/latest/manage- data/geodatabases/an-overview-of-geodatabase-design.htm ESRI. 2018. ArcGIS field data types. Retrieved from http://desktop.arcgis.com/en/arcmap/10.5/manage- data/geodatabases/arcgis-field-data-types.htm ESRI. 2018. Defining feature class properties. Retrieved from http://desktop.arcgis.com/en/arcmap/10.5/manage- data/geodatabases/defining-feature-class-properties.htm ESRI. 2018. Defining fields in tables. Retrieved from http://desktop.arcgis.com/en/arcmap/10.5/manage- data/geodatabases/design-defining-fields-in-tables.htm REFERENC ES
- 29. 29 Hanley, Ryan. (2013, December 17). What is a Flood Zone? Retrieved from https://www.trustedchoice.com/insurance-articles/weather-nature/what-is- flood-zone/ Iannelli, Jerry. (2017, July 18). Miami again ranked one of the five most stressful cities in America. Retrieved from http://www.miaminewtimes.com/news/miami-ranked-the-fifth-most- stressful-city-in-america-wallethub-study-says-9505097 Herrera, Chabelli. (2017, Nov 1). Miami-Dade tourism got ‘knocked down’ in 2017. But things are looking up for next year. Miami Herald. Retrieved from http://www.miamiherald.com/news/business/article182166466.html How To: Format a table in Microsoft Excel for use in ArcMap (2016, November). Retrieved from https://support.esri.com/en/technical- article/000008591 Krishnan, R. Gopal. (2013, Aug 23). When to use the Define Projection tool and the Project tool? Retrieved from https://community.esri.com/groups/technical- support/blog/2013/08/23/when-to-use-the-define-projection-tool-and- the-project-tool-2/ REFERENC ES
- 30. 30 Miami-Dade County ITD – GIS Technical Support. (2017, December 22). Flood Zone Maps. Retrieved from http://www.miamidade.gov/environment/flood-maps.asp Penn State University Libraries. APA quick citation guide. Retrieved from http://guides.libraries.psu.edu/apaquickguide/intext Russon, Gabrielle. (2018, March 20). Florida tourism: 116.5M visitors set record despite Hurricane Irma. Orlando Sentinel. Retrieved from http://www.orlandosentinel.com/business/tourism/os-bz-florida- vacation-2017-tourism-116-million-20180320-story.html Song, Yan, Gilbert C. Gee, Yingling Fan and David T. Takeuchi. March 2007. Do physical neighborhood characteristics matter in predicting traffic stress and health outcomes? Transportation Research Part F: Traffic Psychology and Behaviour. (https://doi.org/10.1016/j.trf.2006.09.001). Elsevier Statista. (n.d.). Attendance at the Magic Kingdom theme park (Walt Disney World Florida) from 2009 to 2017 (in millions). Retrieved from https://www.statista.com/statistics/232966/attendance-at-the-walt- disney-world-magic-kingdom-theme-park/ REFERENC ES
- 31. 31 US Census Bureau. 2016. QuickFacts: Miami-Dade County Population https://www.census.gov/quickfacts/fact/table/miamicityflorida,miami dadecountyflorida/PST045217 US Census Bureau. 2016. QuickFacts: per capita income in past 12 months (in 2016 dollars), 2012-2016 Retrieved from https://www.census.gov/quickfacts/fact/map/US/INC910216 US Geological Survey. (2016, December 5). Florida Shelf Habitat (FLaSH) Map Project. Retrieved from https://coastal.er.usgs.gov/flash/summary.html Quicken. (n.d.). How much you should spend on rent when budgeting. Retrieved from https://www.quicken.com/how-much-should-you- spend-rent-when-budgeting Welch, Anthony. (Meteorologist-Hobbyist turned Mortgage Coordinator). (2018, May 18). Personal Interview. Find your way home. https://www.zillow.com/ REFERENC ES
- 32. 32 About the Author C. Teri Allen CAllen51@kent.edu 352.988.9840 www.linkedin.com/in/crtw1107 USDA APHIS CPHST Carina.L.Allen@aphis.usda.gov Teri currently works at APHIS Science and Technology branch in Miami, FL. Her research involves developing control systems, employing the use of biological control agents, on invasive pests coming in to South Florida. Her dream job would be mapping territories to bring about positive social change whether in the field of entomology, engineering or doing humanitarian works.Image Source:
Editor's Notes
- At a Concert Stadium: The Clash Band
- Should I stay? Or Should I go??
- In this presentation, I am using my situation as an example of a real-life scenario. I live in The Falls-Pinecrest sub-urb of Miami, FL. This coming July, I am bound to either renew a lease or move to a better geolocation. My concern is so real – each South Floridian deal with all the time. In the succeeding pages, I will demonstrate how I developed my geodatabase. I employed the learning I received from this class including spatial analyses, creating a model i.e. Model Builder and mapping to visualize and solve the problem.
- Read the whole Introduction. …..should a resident LIKE ME stay or go?
- Here the red zone represents that 2-km shelf of the FL East coast. This shallow region is so short that makes it prone to flooding easily.
- One of the critical tenets of cartography, is the map projection. How does a cartographer transform a 3-D earth onto a planar 2-D map? Here you can see “the projection face”. There are many illustrations available in the net. I personally find this the most appealing and relatable because it uses the human face. The same face gets distorted accordingly with each assumed projection. Does this man look better on Albers or Baker? Think about it, this is how a cartographer has a vast influence on how his maps impact human view of the world!
- From time to time, a veteran or novice GIS-er second guess which is X or Y; Latitude or Longitude; lamda or phi. This is because we get used to how things are automated by the software we use. The most problematic is TO DEFINE OR PROJECT?? Spatial data implicitly has coordinate values in either geographic or projected coordinates. A geographic coordinate system (GCS) uses a three-dimensional spherical surface to define locations on the earth; whereas, a projected coordinate system is defined on a flat, two-dimensional surface. Unlike a geographic coordinate system, a projected coordinate system has constant lengths, angles, and areas across the two dimensions. However, we need to explicitly define the coordinate system of our data. If we have undefined data, then we can use the Define Projection tool to define it. These are examples of the usage for DEFINING A PROJECTION.
- Now that we have a clear understanding of when to DEFINE A PROJECTION, it follows – Projecting is when we’d convert one coordinate system to another. LET’S TAKE A LOOK AT THE ACTUAL DATA USED.
- I requested data from Miami-Dade County IT-GIS Dept. I was given FEMA Flood Zone and property boundary information. I am most interested in zones A, AE, AH and VE. This is because mandatory flood insurance requirements apply. I hope that I will be able to locate my future abode somewhere better.
- The next step was housing data collection. I chose Zillow, Trulia and Realtor.com as the main source. What you see here are the types of information I extracted from these web source to build my database. I will pause for a brief moment so you can examine it. …1001 1002 1003 1004 1005sec … I error proofed my table by “avoiding” DBMS keywords. Trust me, building it from scratch poses a lot of troubles starting with formatting and little characters that interfered in the transfer and conversion. While it wasn’t smooth, was a great learning experience.
- After populating my Excel spreadsheet with some 100 properties, I converted xlsx into a CSV file. X-Y data are extracted from Google Earth PRO. G-E Pro is known to use WGS 84. Take a look at the X-Y data on window A, highlighted in yellow shows “unknown CS”. Within “edit” environment, I set the data source to WGS 84 as shown on snip image B to match.
- Now it is time to project. This slide, shows the PROJECTION TO Florida State Plane as adopted to FEMA Flood zone and property boundary as the fist layers and set onto the data frame. Figure E is an example of ‘defining’ it first vs ‘projecting’. This lead to a map that shows nothing BUT 2 dots. This serves as a good example of swapping or confusing the 2!
- Here is the end result. The Blue dots which maybe my potential future home, now appear on the map.
- This is Florida = THE Sunshine State and your tourist sweet spot! Despite Hurricane Irma, there were 116.5M tourists who visited the state in 2017, as reported by Gov. Rick Scott (Russon, Gabrielle. Orlando Sentinel). Kennedy Space Center (NASA) in Titusville reported 1.7M (2016). Disney alone hosted 20.45M (2017) while South Beach had 15.9 M (2017).
- Reality check- how much is it to live the Beach Life?? What you see here is the Miami-Dade County filled with water during flooding as illustrated by dark to lighter blue color fill. These are areas that require flood insurance; meaning serious flood zones! AND that I am hoping to avoid. Is my apartment in flood zone right now? The answer is YES! During Irma, I had to evacuate. It was a life disrupting drama like what Harvey did to Texas. The dots are rental properties I depicted in 3 colors. Green represents $1500-2000, Blue is $1200-1500; and lastly Orange as $1000-1200 per month [studio/efficiency to a 1/1]. Assumption: this is in mainland 18-25 miles off of South Beach. How much more if I rent over there? Financial analysts suggest that rent should be no more than 25% of income. How much is it to live the Beach Life in SoFL? This is that picture .
- In a city with 463,000 residents, a 5 mile drive translates to 15-30 minutes commute time depending on which part of town. My first refiner thus, is distance. 70 properties were isolated using Proximity Tool, Table Joins and Select by Attributes. A study on traffic psychology and behavior indicated that perceived traffic stress was associated with lower health status and higher depression. More importantly, higher density of major streets and greater vehicular burden in the neighborhood pose potential harm to health by reinforcing the negative impacts of perceived traffic stress (Song et. Al, 2007). Charts A and B show that there might be HOPE finding a home within $1800 or below and with decent floor area. Let’s see!
- The next refiner or preference I employed are elevation and home build year. Florida is so flat, any elevation would do for now. Once rent is culled to around $1500, unfortunately, only 29 properties are left. The house data table on right shows that as vintage as 1924, most of the available properties are actually old!.
- Getting there…. Only 29 rental properties remaining.
- Combining all criteria, only 6 out of 100 were left. Is there hope?
- Finally - YES! From the query result of 6, only 2 properties are desirable. The first is a town home in Cutler Bay built in 2004, with $1025 rent and a floor space of 725 sq ft. The other one is a condo at Cutler Bay as well, with $1150 rent, a floor space of 813 sq ft built in 1988. While the map shows they sit on a flood zone. These units are on 2nd Floor. Should I stay or GO? Well, I SHALL GO.
- Here’s how I linked tools together to create a workflow. It’s my LEGO blocks of Tools. Hello visualization. Hello automation.
- I may NOT be Pythonic, BUT I earned the title: Syntax Error Queen.
- As a conclusion, Miami is a model of Tobler’s First Law of Geography. Everything is related to everything else, but near things are more related than distant things. There isn’t diversity in neighborhoods here. Old homes are clustered together. The same with pricey properties. Therefore, it is seldom to find a blend of both affordable at the same time located in decent neighborhood. Of the top 25 metro areas, Miami has the second-lowest median household income in the United States. Hurricane, high cost of living, traffic stress and poverty thrive here. TO STAY – YOU MUST LOVE THE BEACH! Geoprocessing tools like the model builder and proximity tool came handy, and mapping made the decision making faster.
- Mistake is the best teacher.
- Thank you for tuning in to Kent State channel. This is Teri Allen, here at The Falls-Pinecrest reporting.
- Thank you.
- The Author = C. Teri Allen THE END.