Individual Assesment

Sam Newman Individual Assessment:

This semester was full of exciting geographic activities.  I feel that the Shuurman and Mitchell books were an excellent way for me to sum up all of the mapping information that I have learned throughout the three courses which I have taken with you.  I felt that the chapter that I presented with my partner was well done and that the class was able to learn what I had learned from completing the presentation.

After taking GEOG353, I am glad that ArcGIS was a big part of this semester.  I was able to further my knowledge of the program.  I am glad that I took the tutorial from the hand book because I feel I can better utilize the software.

I like how the final project was basically up to the students, but had enough direction from the professor that allows for a culmination of all the projects in the class to go towards a common goal.

I believe that I did well during the semester.  I tended to be the first person to present my updated project during the different opportunities to do so.  I turned all assignments with deadlines on time.  I worked hard when assignments were assigned.  The thing that I understand would bring my grade down is my attendance.  Though during the first half of the semester when students were giving Mitchell chapter presentations, I was present for most of the classes; during the later have, I was not in class as often.  Some were because of other obligations I had, but other times it was because nothing was due and I could accomplish anything that I needed to do for the day for my project on my own, outside of the classroom.   This being said, I believe that I should receive an A- for the semester for my work inside and out of the classroom.

Finishing Up

Sam Newman Class Portfolio:

Week 1:

• Introduction of Me
• GIS Application
• Shuurman Ch1 Notes
• Geospatial Analysis

Week 2:

• Mitchell Ch.2  Presented with Julian Kusin
• Mitchell Ch. 3

Week 3:

• Project Idea
• Mitchell Ch. 4 and 5

Week 4:

• Mitchell Ch.6 and 7
• Putting People in the Map

Week 5:

• Getting to know ArcGIS Ch. 3-20

Week 6:

• Delaware Data Inventory

Week: 7 – Rest of year:

Project

• Sunlight Sensors
• Things to Do
• Project Presentation

Individual Assessment

Sustainable Ohio Wesleyan: OWU’s Solar Energy Potential

Goal:

The goals of my project are to explore the possibility of using solar energy to power buildings on the academic and JayWalk areas of campus, obtain ambient light data using a hand held devise to identify the strength of the Ohio sun, and to find a stationary light monitor that can be put on a building to capture real-time sunlight data for student and faculty use.

There are three parts to my project:

1. Campus Building Survey with Recommendations
2. Photometer Data of Ambient Light
3. Light Monitor for Real Time Data Collection

Campus Building Survey:

• The goal of this survey is to observe and decide if solar window treatments or solar roof treatments are feasible to produce the most amount of power possible from the sun available.
• The survey was conducted by me to identify:

1.  South facing wall
2. Any obstructions that would reduce the amount of sunlight that would reach the windows and roof
3. Whether solar window treatments or roof treatments would be feasible after analyzing existing data and data which I have collected.

• This involved walking around to all of the buildings and taking detailed notes about trees, shrubs, buildings, style of window, pitch of the roof, and roof material.
• Existing data on roof statistics and output data is from the company SolarTrane who conducted a survey in 2010 to examine potential solar project for the roofs on campus.  There website is SolarTrane.com.
• During the development of this project, I have consulted a solar company based out of San Diego called Plug ‘N Save Energy Products.
• My recommendations are based on whether I personally think it would be worth investing the money into fitting solar treatments to buildings.

Here are the results briefly:

• Edgar Hall:  

1. Tinted windows and lack of constant sun cause me to not recommend solar window treatments
2. A flat roof and existing data causes me to recommend solar roof treatments

• University Hall/ Grey Chapel:

1. Non tinted windows and lack of obstructions allow for direct sunlight for entire day.  I recommend window treatments.
2. The old, slate covered roof does not make it feasible for solar roof treatments

• Slocum Library: 
  

1. The lack of direct sunlight and old roof cause me to not recommend either solar window or solar roof treatments

• Sturges Hall: 
  

1. Lack of any obstructions of sunlight to windows cause me to recommend solar window treatments for Sturges.
2. Directly facing south and having no obstructions, the roof would be a good spot for solar treatments.
3. This building is my number one choice for the highest solar potential in my survey.

• Science Center: 
  

1. Because of tinted windows and obstructions of sunlight to the south wall, I do not recommend window treatments.
2. The flatness and large size of the roof makes it an acceptable place for solar treatments.

• Phillips Hall:
  

1. The tint of the windows and limited amount of sunlight that shines on the wall during the morning and late afternoon cause me not to recommend window treatments for Phillips
2. The roof on the other hand has direct sunlight for the entire day, so I recommend solar roof treatments for Phillips

• Elliott Hall:

1. I recommend only the middle 6 windows to have solar treatments
2. The funny shape of the roof causes me to not recommend solar roof treatments

• HamWil (Food Court):

1. There is too much tint on the windows for solar window treatments to be effective
2. If there is no problem securing the solar units on the steep metal roof, I recommend roof solar treatments.
3. Roof treatments will also be highly visible

• HamWil (Offices):

1. Windows have great sun exposure, but for the sole reason that the windows are tinted, I do not recommend solar window treatments
2. The funny shape of the roof above that section of HamWil causes me to not recommend solar treatments.

• Beeghly Library:

1. The odd, skinny shape of the windows and the slight tint make them not good for solar window treatments.
2. From existing data and the observable large scale of the roof, I recommend roof solar treatments

• Mowry Alumni Center:

1. The windows are not tinted and have no obstructions, so I recommend solar window treatments
2. I recommend a solar roof treatments because of the direct south facing orientation and high visibility of the units

• RW Corns:

1. There are some windows tinted and some not.  Therefore I recommend solar window treatments on the non tinted windows
2. The roof is relatively new, flat, and has no obstructions make it a good place to have roof solar window treatments.

Photometer Data of Ambient Light:

• Purpose is to get initial data on the strength of the sun in Ohio
• Used Model LI-250 Light Meter provided by Dr. Krygier
• I measured Ambient light outside in lux, which is the luminous flux per unit area.
• I first didn’t realize that I had to switch the reading from Quantum to Photometer on the device so I was collecting the wrong data for a while.
• I will get luminous data for every hour of the day 9am to 7pm, noting cloud cover and other important factors.
• The device takes a measurement every 0.5 seconds and I used a 15 second average to obtain the numbers.

Results:

• 12pm: 10,770 lux in direct sunlight
• 1pm: 14,245 lux in direct sunlight
• 2pm: 10,061 lux in direct sunlight
• 3pm: 3,231.6 lux in lite cloud cover
• 4pm: 138.6 lux in heavy cloud cover
• 5pm : 1,438.2 lux in lite cloud cover
• 6pm: 1,483.6 lux in lite cloud cover
• 7pm: 13.3 lux in heavy cloud cover
• 9am: 11,224 lux in direct sunlight

It is clear that there is a big difference in the amount of light captured when there is cloud cover and when its direct sunlight.  This is why having a stationary monitor that takes readings all day for multiple days will be useful.

Stationary Light Monitor:

• The purpose is to allow students and faculty so study sunlight at Ohio Wesleyan using data collected by this device.
• It makes most sense to buy one very nice monitor than the buy multiple less nice ones.
• I recommend putting it on the Science Center for ease of data transfer.
• Look into wireless data transfer
• Here is my recommendation.

Solar Project: Things to do

Survey the Buildings:

• Buildings on academic side and JayWalk:  Edgar Hall, University Hall and Gray Chapel, Slocum Hall, Sturges Hall, Edwards Gymnasium, Pfeiffer Memorial Building, Branch Rickey Physical Education Center and Arena, Gordon Field House, Schimmel/Conrades Science Center, Phillips Hall, Elliott Hall, Selby Field, Chappelear Drama Center, Beeghly Library, Mills Early Childhood Center, R.W. Corns Building, Hamilton-Williams Campus Center and Bookstore, Mowry Alumni Center, Richard M. Ross Art Museum.
• Identify the southern most facing outer wall

• Determine if it is worth pursuing solar energy on buildings
• Determine if window treatments are possible
• Locate appropriate location on outer wall for light sensor
• Identify natural and man made obstructions of sunlight
• Identify roof opportunities/ age of roof

Record Data:

• Use light sensor to collect ambient sunlight
• Record Ambient Light for each building in morning, noon/early afternoon, and late afternoon.
• Enter into excel based data sheet
• Analyze data

Write Report of Findings:

• Compare with existing data
• Look into subsidized solar programs
• Report solar potential of OWU
• Would good blinds on windows decrease heat within rooms?  Decrease energy used for air conditioning.

Sunlight Sensors

AMBI Light Sensor

• Carries a Sharp GA1A1S201WP surface-mount ambient light sensor
• Requirements for mounting:   analog input of a JeeNode, into the analog block of a BBB, or into the analog pins on an Arduino (since the sensor draws under a milliamp the other two pins are used to provide power)
• I produces a voltage outputs,  so it must run output to an A/D converter
• Captures a wide range of light values (5-55000 lux)
• One of the multiple applications of the product is weather station use

AHKF

• Measures luminous intensity outside
• Its greatest sensitivity is in the range of 350 nm to 820 nm. Therefore with its special filter the sensor is predestined for exposure measurement of daylight

Here are 15 Light Data Loggers

• Price range:  $42 – $830 a peice
• Every one of these products would be better than the AHKF and the AMBI Light Sensor.  This is because those are more for controlling lighting devices like light switches of venetian blinds.
• Most require an additional software kit that usually is sold separately
• Most products can collect data on more than just light

My Recommendations

-TandD Accumulating Light, UV, Temp and Rh Data Logger

• Includes Battery, USB Cable, Software and Sensors
• Wide Luminosity Range to 130k lx
• UV Range of 0 to 30 mw/cm
• Starting at $379

-Light Meter and Data Logger

• 3 Light Ranges Available (0 to 1,999 Lux, 1,800 to 19,900 Lux or 18,000 to 99,900 Lux)  We would want to use 19,000 to 99,900 Lux
• Includes Light Sensor
• Measures and Displays Light and Temperature Readings on LCD Display
• Starting at $189

 

 

Delaware Data Inventory Review

Delaware 2008 and 2010 Ponds and Lakes

• 2010- this map shows all of the lakes in the county of Delaware, Ohio and has data on their areas represented in acres.
• 2008- this map shows a different number of lakes in Delaware, and has their data on their areas in acres.

Delaware Address Points

• Address Points- this map shows the locations of all owned areas with an address. It has data on what the owned land is used for, what city it is located in and some have brief descriptions about them. It additionally lists their coordinates, zip code, state, address, highways.
• Masters-much like address points this shows many addresses in the county of Delaware, however, it has less data points, and does not include the highways.

Annexations

• This map shows any area of land that has received annexation in Delaware County, it has their ordinances, year received, the city it is located in and the acreage.

Archaeological

• this map has no data, it just shows points in the county of Delaware.

Bench Marks

• this map shows all the GPS bench marks within the county of Delaware. It lists their coordinates, names and GPS IDs.

Building outlines

• 2006-this shows all of the outlines of buildings within the county of Delaware, it has data on their land use, building type, as well as their coordinates.
• 2008-this shows the same type of data, but has a slightly different number of points on the map.
• 2010-this also shows the same type of data, but compared to the previous two, it has the most data points, even though all three maps have their own unique data points.

Blocks

• This map shows all the blocks in Delaware county, it lists data such as the population size on each block, households, and area.

Block Groups

• This map has the many blocks from the previous map in larger groups. It has a lot of similar data such as population, families,  sizes, and area, but has additional information as well.

Tracts

• Tracts group the block groups even further, and has most of the same information.

Economic Development

• TIF all-the tax increment financing of economic development. It has data on the area of land, their names, the years the tax increment financing is in effect and percent.
• CRA EZ all-the community reinvestment authority combined with enterprise zones. the only data listed is the name of the areas.
• CDP all-the community development projects. this lists all of the communities that are developing and constructing buildings, such as housing and lots of information on the houses being built, such as address, bedrooms, bathrooms, heating, etc.
• ABT all-the abated parcels. this lists much of the same data as the CDP all map except it shows the abated parcels.

Farmlots

• this map shows all of the lots of farm in Delaware county, it lists the township they are in, their ID, and shape area and length.

Flood Plain 100 years

• this map shows all of the flood plains in Delaware county and has data on their perimeter and area.

Flood Plain 2009

• this map shows the flood planes of 2009, however, the there is little statistical data and it has every area in Delaware county mapped and identifiable as flood plain, which is odd.

Flood plains 500 years

• This map shows the flood plane of 500 years of Delaware county, and gives their perimeter and area

Floodways

• This map shows all of the smaller floodways in Delaware county and has their perimeter and area.

Historical Local

• This map has no data about it, it is just points on a map of Delaware county.

Historical National

• This is also a map that shows no informational data, it just shows points on the Delaware County map.

Hydro

• Hydro-this map shows the major water ways of Delaware County and has their name, area and perimeter.
• Hydro 2009- this map shows tributaries along with the main rivers of Delaware County. It also has their, names, areas, and perimeters.

Hydro detail

• Delaware run- this map shows the Delaware Run and lists its length.
• Arc-this shows all of the rivers, creeks, tributaries, etc. of Delaware County. And identifies them
• Polygon- this shows the large bodies of water in Delaware County, it names them, and gives their area and perimeter.
• Label-this marks all the ponds in Delaware County, it has their perimeter and area.
• Tic-this shows two points in Delaware county and gives their coordinates.

Landmarks

• bldg1 base- this shows the locations of the fire departments, EMS stations, hospitals and township halls in Delaware County.
• bldg2 base-this shows county buildings, state buildings, fairgrounds, city buildings, mobile homes and weigh stations and rest areas.
• cemetery base- this pinpoints all of the cemeteries in Delaware county
• Churches-this gives the addresses of all the churches in the city of Delaware
• Golf courses-this shows all of the golf courses and gives their address and whether or not they are public or private.
• Parks-this shows all of the parks in Delaware County
• School – this shows all the schools, their names and type.
• USPS- this gives the address and names of all the US post offices

LBRS Datasets

• Street Centerlines- this shows all of the streets, roads and highways in Delaware County, gives their names and towns they are in.
• Address Points-this was already done previously.
• Master Poing Coverage-also already covered.

Municipalities

• This shows all of the major cities in Delaware County, gives their name, area, and length.

Natural Heritage ODNR

• Nature- No data or information is given on these points

Parcels

• This shows all the parcels of land in Delaware County and gives their address, area, township, school, etc.

Parks

• once again, the park names and addresses

Places of Interest

• this shows the locations of many important buildings and places in Delaware county such as: schools, public buildings, post offices, police, mobile home parks, medical centers, law enforcement, golf courses, fire stations, fire districts, EMS, day cares, churches, and cemeteries.

Precincts

• These all show the polling places, the voting precincts, and the city ward boundaries in Delaware County.

Public Land Survey System

• This gives the area and township name of the two public land survey districts in Delaware County

Railroads

• This shows all the railroads in Delaware and their length, name and track number.
• Road Center Line-the roads once again
• Road Right of Way- this shows all of the right of ways within the county of Delaware
• School Districts-shows all the school districts, their names and areas
• Soils-lists all the soil types in Delaware
• Subdivisions-the names, areas, townships, of all subdivisions in Delaware County.
• Tax District-the divisions of taxing in Delaware and some minor descriptions
• Topography- this shows the topography of: Berkshire, Berlin, Brown, Concord, Delaware (with some bonus pictures), Genoa, Harlem, Kingston, Liberty North, Liberty South, Marlboro, Orange, Oxford, Porter, Radnor, Scioto, Thompson, Trenton, and Troy.
• Townships-all the different townships listed above are shown with their boundaries and area, except it shows the large cities as well.
• Historical Townships-the only difference from regular townships is that it does show the large cities
• Watersheds-the location and area of every watershed in Delaware county is listed.
• Wetlands-all the wetlands and the type they are , in Delaware County
• Woodlands Final-all the woodlands in Delaware and their area.
• Woodqc-the woodland coverage in Delaware County and their perimeters and areas.
• Zipcodes-the areas and boundaries of the zip codes in Delaware.
• Zoning-the zoning and historical districts around Delaware City
• Orthophotos-giant photos of Delaware County. Orthophotos are aerial photos of land that have uniform scale and lack distortion that cna be created from distance, camera angle, and the shape of the Earth.

Getting to Know ArcGIS: Ch.3 – 20

Ch.3

• Check and unchecked layers to toggle whether they can be viewed on the map
• Order the layers from the top, the top layers will be on top of other layers on the map
• Attribute tables tell you more information about a layer

Ch. 4

• Exploring ArcCatalog
• Connect to the GTKArcGIS folder
• The Data folder contains Geodatabase, Feature class, Layer file, and shapefile
• You can toggle between the geography and the table easily using the preview dropdown
• Indexing new items can take a few moments
• Printer View is equal to Layer View
• Add ArcCatelog Layers by simply dragging them to ArcMap

Ch.5

• Symbolizing features and rasters
• Assigning them colors, markers, sizes, widths, angles, patterns ect…
• ArcGis has thousands of symbols for common map features.
• Datasets added have default symbology that can be changed
• Make symbols more informative by assigning a different symbol for different values.
• Each cell in a raster stores a value

Ch.6

• Classifying features and rasters
• Quantitative attributes are always numeric
• Graduated color symbology- most common
• Classification methods: Natural, equal interval, defined interval, quantile, standard deviation, geometric interval, manual
• Graduated symbols use different marker sizes to represent features

Ch.7

• Labeling Features
• A Label is any text that names or describes a feature on a map
• Dynamic labels are easy to work with because they work as a group
• Labeling priorities can be set for each layer in the map.

Ch.8

• Querying Data
• Information about features can be conveyed by the way they are symbolized and labeled
• The fastest way to get information about a single feature is to identify it
• A query selects features that meet specified conditions
• reports let you organize, format, and print the information contained in an attribute table

Ch.9

• Joining and relating tables
• Spatial information, stored in the Shape Field, specifies the type of feature in a layer and defines the location of each individual feature.
• You relate tables when each record in the layer attribute table may have more than one match in the nonspatial table
• Once joined, tables can use appended attributes of the nonspatial table to symbolize, label, query, and analyze the features in a layer
• Tables should be associated by a relate instead of a join when a record in the layer attribute table may have matches in the nonspatial table.

Ch.10

• Selecting features by location: according to their spatial relationship to other features, whether in another layer or in the same layer
• 4 types of spatial relationships: distance, containment, intersection, and adjacency
• ArcGIS defines thirteen spatial relationship.  All are variations of the main four
• Location and queries can be used together to solve a problem

Ch.11

• Preparing data for analysis
• When you perform an operation on spatial data that creates a new dataset, you are doing geoprocessing
• Toolboxes contain a number of tools to help you streamline datasets
• A dissolve creates a new layer in which all features in an input layer that have the same value for a specified attribute become a single feature.
• Clipping trims features in one layer using the boundaries of polygon features from another layer

Ch.12

• Analyzing Spatial Data
• the geoprocessing tools in arcToolbox not only help you prepare data, they also help you analyze it spatially
• Overlays identify overlaps between features in 2 layer.
• Union Dataset has three features: only in the first input layer, those in the second input layer, and those created by areas of overlap between the 2 layers
• Buffers are created as polygons in a new layer

Ch.13

• Projecting data in ArcMap
• Latitude lines: parallels to the equator
• Latitude lines: meridians
• Latitude and longitude lines are the basis of a geographic coordinate system
• to make a map, the earth must be represented as flat
• This will distort some aspect of the map
• Mercator preserves shape but distorts area
• Features in a dataset never lose their coordinates

Ch.14

• Building Geodatabases
• Spatial data comes in a variety of formats that can be managed in ArcCatalog and added as layers to ArcMap
• Feature class is a group of points, lines, or polygons representing geographic objects of the same kind, like countries and rivers
• A shapefile is a single feature class
• In Arccataloge, you can create geodatabases, shapefiles, or coverages

Ch.15

• Creating Features
• Digitalizing data involves placing a map or photo on a digitizing tablet and tracing features with a puck, which is a device similar to a mouse
• Features can also be digitized without tracing
• Points are the simplest features to digitize
• The places where a line begins and ends are called endpoints
• The places where lines change direction or is intersected by another line are called vertices
• The segments between vertices are called edges

Ch.16

• Editing Features and Attributes
• Creating features is one part of maintaining a geodatabase
• Features can be edited by deleting, moving, splitting, merging, resizing, reshaping, or buffering.
• If a feature shares an edge or vertex with another feature, you may want to ensure that no gap or overlap results
• Highlights will disappear when you unselect the polygon or select another feature
• Map Topology makes features aware of their connectedness to other features.
• able to isolate single parcels

Ch.17

• Geocoding Addresses
• Creating Spatial data, specifically point features, from information that describes or names location
• Most common forms are street addresses
• The value of geocoding is that it lets you map locations from data that is readily available
• Address table-a list of addresses stored as a database table
• Output of the geocoding process is either a shapefile or a geodatabase feature class of points
• Geocoding starts with creating an address locator

Ch.18

• Making maps from templates
• ArcMap templates already contain layers for the world and the US
• In the course of making a map, you may add data to the frame, resize it, insert more data frames, and add such elements as legends and scale bars
• Changes made are to the map document, not the template so the template can be reused
• The layout zooms to actual size

Ch.19

• Making maps for presentations
• A good map should inform, reveal, clarify, or convince the viewer
• Elements for accomplishing these purposes include prepared and symbolized data, a legend to explain the symbols, a descriptive title, projection information, and a source statement
• A north arrow and scale bar often help orient the map reader
• ArcMap has rulers, guides, and a grid to help you arrange map elements on a page

Ch. 20

• GIS is often defined as a computerized system for the creation, management, query, analysis, and display of spatial data
• ModelBuilder is a graphical interface for diagramming solutions to spatial analysis problems
• The diagrams you make are called models
• A complete model is an interconnected set of such processes, each consisting of input data, a tool, and the resulting output data.

Wow, that took a while.