Here is a link to the lovely delaware run project.
Here is a link to the lovely delaware run project.
Although we went through this tutorial very fast, i found it extremely useful while completing the midterm. The first two chapters gave an introduction to GIS thinking as well as an introduction to the software ArcGIS.
Part 2 of the book introduced the key components when working with maps and data within the software. It displayed how to show map data and how to navigate through the sidebar. It shows how to turn layers on and off in order to express different traits. It also shows you what the attribute table is and how it shows you all the information on the map for each layer. It also shows you how to select features within the attribute and that in return these attributes will be highlighted on the map. Chapter 4 shows you how to add data to maps and how to work within each map layer that you create. It also shows you how to use the layout window and how to move the data frame to create titles and legends. In chapter 5 we see how to create a map on the web and how to merge online and local layers already within ArcGIS.
Part 3 looks at displaying data and presenting it in a professional manner. Chapter 6 looked at working with coordinate systems by looking at a series of USstate shp. files. Then it explored the importance of map projections and how to use the Arctool box to help define projections that you may use within the maps you create. The purpose of chapter 7 is to learn information about symbology. You learn how to customize symbols in relation to your maps purpose and you learn how to use the properties tab in ArcGIS to change the characteristics of your symbols. Chapter 8 dives in the how to classify features by standard methods; manual, equal interval, defined interval, quantile, natural breaks, geometrical intervals and standard deviation. I thought this section was really great because i hadn’t learn all of these types form the reading (just a selection few). Chapter 9 talks about how to create graphic labels on your map incase you want writing or drawings on your map. Chapter 10 then pulls part 3 together by talking about how to map the map presentation ready. It reveals how to create titles, additional elements and writing.
Part 4 chapter 11 explains how to create and alter data by initially making a new geodatabase file, in ArcCatalog. It has you import a feature class into the geodatabase file. It also talks about how to add domains and different fields. Chapter 12, was very helpful for the midterm because it talked about drawing and creating your own features on ArcGIS. It teaches you how to create a point, line and area from a shape file on ArcCatalog. In chapter 13 we then learn how to delete and change these features that we have created incase we mess up or need to add certain aspects. Chapter 14 looks at geocoding and creating a address locator with the help of the attribute table.
Part 5 talks about how to get information for your attribute table. Chapter 15 teaches you how to use the identify button to look at the information of your created features. It also talks about using hyperlinks to connect to information that can’t be added to the attribute table. Chapter 16 is useful for learning about why you might want to join or compare spatial data to tabular data and talked about other map tips.
Part 6 is focused on analyzing feature relationships and ends the tutorial. Chapter 17 talks about performing location queries and how to use the select by attribute tool to help with various tasks revolving this idea. It teaches you that you can always change a selected attribute it need be. Chapter 18 talks about finalizing data by clipping layers and exporting maps or data. Chapter 19 talks about buffering features which was also useful when completing the midterm. it also talks about creating graphs which can be very useful when trying to display the goal or purpose of your final map. Chapter 20 ends the tutorial with how to turn your vector layers into raster data and that you must have the same cell size, classification and extent in order for it to convert. Over all the tutorial was a lot of information to absorb, but i really learned from applying some of these concepts to the midterm.
Chapter 4 talks about how GIS is frequently used to store data and provides us the ability to analysis our data more closely. It goes into detail about set theory, map algebra and overaly analysis mentioning buffers, queries and many of the difficulties we face. My favorite part of the chapter is when it talks about the power of the eye. The look at a TB case study to find 5 concentration clusters of the disease. Through small data reductions the visualization was even easier for defining the data. Chapter 5 talked about how GIS research and training. It touched on systems vs. science once more and mentioned that research in growing in the area of GISci.
Mind the Gap:
-Many people didn’t have access at first (such as Human Geographers) started being used for NGOs. Human Geographers don’t like simplicity of points, lines and areas (vector data).
-Epistemology method used to study the world (using stuff to understand efficiency)
-Ontology method that assumes the world is a certain way (points, lines and areas)
-Data Model use map and put (residential, par commercial and industrial) images with the map of an area —> capture aspect of reality somehow
-Field Model: geographic coordinates with informational attributes. Different from vector data view
-Data collection and organization: Human collection (census), Metadata ( maps, GIS), Interoperability
— fixed scale
— locations and consistency
— Collection standardized and classification
This academic source will be very useful for the midterm and the final projects. The source gives a quick background on GIS and how applied software can solve problems that occur on your day to day basis. The first section also talks about the intended audience, suggested readings and a list of terminology that is useful for people using GIS software. In the second section, conceptual frameworks for spatial thinking, it talks about gather data. You need to know the sources you are collecting your data from as well as what sources you can legally merge together. It is also important to know how each file type works when collecting the data. It also talks about how some data is free while in other cases it can cost large amounts.
Delaware_2008 and 2010 Ponds and Lakes: This data shows all of the data for ponds within delaware county and also the retention and detention ponds within the area. It was helpful when i added the census layer within the data to see where all these ponds were located compared to parcels within the county.
Delaware_Address_Pts: Shows where each address is within delaware which can reveal larger patterns on land use and concentration of people within each part of the county.
Delaware_Annexations: expansion of delaware into places it didn’t already own.
Delaware_Archeological: Shows archeologists areas of historical cites where physical remains and the analysis of artifacts has taken place.
Delaware_Bench_Marks: Their are numerous points in delaware placed by a surveyor, and he uses these as a place of reference when monitoring the land in delaware. Bench marks could be use to reference a forest area of land for example.
Delaware_Building Outlines: these can show the concentration of habitats within an area, and the land use distribution.
Delaware_ Census_Block: “the smallest geographic area for which the Bureau of the Census collects and tabulates decennial census data” formed by lines such as roads and streams on a map that are visible and uses invisible lines such as property.
Delaware_ Census_BlockGroup: a compilation of census blocks. It is subdivided into census tracts or blocks by numbering area.
Delaware_ Census_ Track: a survey of a population within a geographic area that is defined.
Delaware_Economic Development Layers: identifying parcels with economic development within the county.
Delaware_Farmlots: Contains all of the farm lots in the Virginia and US military survey districts.
Delaware_Floodplain_1OOyr, Delaware_Floodplain_500yr, Delaware_Floodplain_2009: Make it easier to see how the flood plain has changed the past 500 years and points of patterns of growth and change.
Delaware_Floodways: indicates areas that floods occur most frequently
Delaware_Historical_Local: points represent local historical landmarks
Delaware_Historicai_National: points show national historical marks ( you can see there are less national marks then local)
Delaware_Hydro: larger bodies of water in delaware
Delaware_Hydro_Detail: small bodies of water in delaware
Delaware_Landmarks: shows Delaware s special building such as cemeteries, churches, golf courses, parks school, usps etc. Recognizable man made feature within delaware.
Delaware_Master Point Coverage: property insurance coverage in delaware.
Delaware_Municipalities: contains data for the governing body of delaware.
Delaware_Natural_Heritage_ ODNR:points of natural heritage named by the Ohio department of natural resources.
Delaware_ Orthophoto _Detailed_2010: aerial photo of parts of delaware divided by N S E or W with a unified scale.
Delaware_Parcels: showing all parcels or pieces of land (estates) that are within the region of delaware county. This will be helpful to use in the delaware run project to see property lines around the runs floodplain.
Delaware_Parks: This data shows all of the areas within Delaware that have parks. Each park consists of a colored in area which is a form of summarized data because all points in this area are entailed to be a park.
Delaware_Places of Interest: 28 layers each having their own metadata. The dataset looks at a list of areas that are of interest “apartments, banks, campgrounds, cemeteries, churches, clubhouses, daycares, department stores, education, EMS stations, fire stations, golf courses, grocery stores, hotels, industrial, libraries, medical centers, medical offices, mobile homes, offices, organizations, parks, police stations, post offices, public buildings, restaurants, retail stores, and schools”
Delaware_Precincts: shows the electoral districts of the city of delaware.
Delaware_Public Land Survey System: data that predicts the edges of two public land surveys by polygons
Delaware_Railroad: shows where delaware railroad tracks are located: There are two tracks, one branches off
Delaware_Road_Center_Line: these roads divide the area of delaware into areas. These lines show how traffic is directed.
Delaware_Road_RightOfWay: shows all of the locations in delaware where people have a right of way.
Delaware_School_Districts: shows all of the placement of schools in side delaware.
Delaware_Soils:Shows the soil layer in ohio
Delaware_Subdivision: data that contains all of the sub divided areas in Delaware.
Delaware_ TaxDist: shows all tax districts within delaware.
Delaware_ Topography: this data shows contour lines for the city of Delaware. Helps us see elevation, which will be helpful in the delaware run project.
Delaware_ Townships: shows that delaware contains 19 townships (different kinds of settlement)
Delaware_ Townships_Historical: historical data for township coverage within the county.
Delaware_ Watersheds_ ODNR: Shows the watershed and drainage basins by the Ohio department of natural resources.
Delaware_ Wetlands: Shows dataset that provides areas of wetland within the county ( this is important when considering land use and property cost.
Delaware_ Woodland_ ODNR: forested or land cover by trees by the ohio department of natural resources.
Delaware_Zip_Codes: This data shows all of the zip codes within the area.
Delaware_Zoning: Where building and structures of properties are run by local government
Ohio Wesleyan Parcels: The extended area of land that ohio wesleyan covers and all of its restrictions and land use additions.
Watershed-Scioto: water shed of the Scioto river
Chapter 6: Finding what’s nearby—> this lets you find the distance from individual features and from between multiple features within an area. This in return lets you look at events in an area or the features affected by certain influences around the indicated location.
Why maps change
Anticipate future conditions (crime patterns, trending in traffic flow)
Know types of change:
Track movement (show patterns )
Time (data not always static) data in attributes