Acknowledgments |
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xi | |
Preface |
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xiii | |
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Introducing GIS and health applications |
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1 | (30) |
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2 | (9) |
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2 | (2) |
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Digital map infrastructure |
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4 | (1) |
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Unique capabilities of GIS |
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5 | (6) |
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Introducing the ArcGIS user interface |
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11 | (20) |
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11 | (4) |
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15 | (3) |
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18 | (3) |
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View map layer attribute tables |
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21 | (1) |
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View map layer properties |
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22 | (3) |
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25 | (5) |
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Exercise assignment 1-1 Benchmark health GIS Web sites |
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30 | (1) |
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31 | (42) |
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Manipulate map layers in a map document |
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33 | (9) |
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Launch ArcMap and open an existing map document |
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33 | (2) |
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35 | (1) |
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Change a layer's display order |
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36 | (2) |
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38 | (1) |
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Change a boundary layer's fill color |
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38 | (1) |
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Change a layer's outline color |
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39 | (1) |
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Change a layer's outline width |
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40 | (2) |
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Zoom and pan health features on a map |
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42 | (3) |
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42 | (1) |
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43 | (1) |
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44 | (1) |
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45 | (1) |
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Identify cancer mortality rates and deaths by state |
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46 | (3) |
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46 | (3) |
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49 | (4) |
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49 | (1) |
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Zoom to selected features |
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50 | (1) |
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50 | (1) |
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51 | (1) |
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51 | (2) |
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53 | (2) |
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Use an attribute table to select counties with the highest number of breast cancer deaths |
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55 | (6) |
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55 | (1) |
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Show the connection between layers and tables |
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56 | (1) |
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57 | (1) |
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57 | (1) |
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Select the top five counties |
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58 | (1) |
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Show only selected records |
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58 | (1) |
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59 | (1) |
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59 | (2) |
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Create a new layer of a subset of features |
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61 | (12) |
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Select the most populated cities |
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61 | (1) |
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Create a layer from selected features |
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61 | (1) |
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Create a new symbol for the new layer |
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62 | (1) |
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Label major cities in Texas |
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63 | (1) |
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Set label properties and features |
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63 | (1) |
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64 | (1) |
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Convert labels to annotations |
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64 | (1) |
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65 | (1) |
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Save the project and exit ArcMap |
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66 | (2) |
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Exercise assignment 2-1 Lung cancer mortality maps |
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68 | (2) |
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Exercise assignment 2-2 State lung cancer mortality maps |
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70 | (3) |
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Designing maps for a health study |
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73 | (38) |
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76 | (1) |
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Create a choropleth map for the uninsured population in Texas |
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77 | (9) |
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Add a layer and change its name |
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77 | (1) |
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Select an attribute to display uninsured population |
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78 | (2) |
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Create custom classifications |
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80 | (1) |
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Manually change classification values for percentage uninsured |
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81 | (1) |
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81 | (3) |
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Build a custom-color ramp |
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84 | (1) |
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Save the Texas health-study map |
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85 | (1) |
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Create a point map for percentage of unemployed in Texas |
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86 | (4) |
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Symbolize unemployment data as graduated points |
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86 | (1) |
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Modify point classifications |
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87 | (1) |
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Make a scatter plot comparing uninsured and unemployed populations |
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88 | (1) |
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Save the changes to your Texas health-study map |
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89 | (1) |
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90 | (4) |
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90 | (1) |
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Create a group layer and add saved layers |
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91 | (2) |
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Save the new Texas health-study map |
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93 | (1) |
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Print layouts for a health-care study |
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94 | (2) |
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Choose a pre-built layout template |
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94 | (1) |
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Add layers to the map layout |
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95 | (1) |
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Create custom map layouts for multiple maps |
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96 | (8) |
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Build a custom layout grid |
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96 | (1) |
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Add layers and create multiple data frames |
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97 | (1) |
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98 | (1) |
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99 | (1) |
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99 | (2) |
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101 | (1) |
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102 | (1) |
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Save the Texas health-study map |
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103 | (1) |
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104 | (7) |
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Export a map to an image file |
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104 | (1) |
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Copy and paste map images |
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105 | (2) |
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Exercise assignment 3-1 Map comparing uninsured populations in California counties |
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107 | (1) |
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Exercise assignment 3-2 Map showing detailed Texas county demographics |
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108 | (3) |
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Projecting and using spatial data |
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111 | (28) |
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Explore map projections for world AIDS study |
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115 | (3) |
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115 | (1) |
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Change Data Frame 1's projection to Mercator |
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116 | (2) |
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Symbolize area maps using size-graduated point markers |
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118 | (5) |
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118 | (1) |
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119 | (2) |
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Create a prevalence map using point markers |
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121 | (2) |
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Explore map projections for U.S. lung cancer study |
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123 | (1) |
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Prepare GIS data for a local health study |
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124 | (15) |
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124 | (2) |
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126 | (2) |
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128 | (1) |
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Import an ArcInfo interchange file and add an ArcInfo coverage |
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129 | (1) |
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Export the coverage to a shapefile |
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130 | (1) |
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130 | (1) |
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Change the data frame projection to UTM |
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131 | (1) |
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Add an aerial photo to the map |
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132 | (1) |
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Improve labeling at the neighborhood level |
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133 | (1) |
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Set parks as semitransparent |
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134 | (2) |
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Exercise assignment 4-1 Map showing world infant mortality rates and life expectancy |
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136 | (1) |
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Exercise assignment 4-2 Map comparing walkable neighborhoods |
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137 | (2) |
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Preparing spatial data to study environmental hazards |
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139 | (30) |
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Download spatial and attribute data from the U.S. Census Bureau |
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142 | (12) |
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Lower Internet Explorer's security setting for downloading |
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142 | (1) |
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Download a TIGER/Line shapefile for census tracts |
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143 | (2) |
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Clean the census tract attribute data |
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145 | (4) |
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Download an SF3 housing variable |
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149 | (2) |
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Download census tract housing data from SF3 |
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151 | (1) |
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Clean census tract SF3 data in Excel |
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152 | (2) |
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Download a shapefile from the ESRI Census TIGER/Line data Web site |
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154 | (2) |
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154 | (2) |
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Build a map layer for elevated blood levels of lead in children |
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156 | (4) |
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Extract Allegheny County Tracts from Pennsylvania Tracts |
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156 | (2) |
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Create a text data type version of the Tract ID |
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158 | (2) |
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Join housing and elevated blood cases tables to census tract map |
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160 | (2) |
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161 | (1) |
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Create a new personal geodatabase |
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162 | (1) |
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Import a shapefile into the geodatabase |
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162 | (1) |
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Build a lead-study comparison map |
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163 | (6) |
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Add map layers and project the data frame |
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163 | (1) |
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163 | (3) |
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Exercise assignment 5-1 Map housing values compared to elevated blood levels of lead |
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166 | (1) |
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Exercise assignment 5-2 Map housing complaints compared to elevated blood levels of lead |
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167 | (2) |
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169 | (34) |
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Geocode patients to ZIP Code centroids |
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172 | (6) |
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Begin a new health-care map project |
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172 | (1) |
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172 | (1) |
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Add patient database and open its attribute table |
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172 | (1) |
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Build address locator for ZIP Codes |
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173 | (2) |
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Add address locator in ArcMap |
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175 | (1) |
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Geocode patients using new address locator |
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175 | (3) |
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Spatially join patient and ZIP Code layers |
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178 | (3) |
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Spatially join points to polygons |
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178 | (3) |
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Create a choropleth map showing patient counts by ZIP Codes |
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181 | (2) |
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Geocode hospital addresses to streets for competitive analysis |
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183 | (20) |
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Begin a new health-care map |
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183 | (1) |
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183 | (1) |
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184 | (1) |
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Build an address locator for streets |
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185 | (1) |
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Geocode hospitals using new address locator |
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186 | (2) |
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Interactively rematch an address |
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188 | (2) |
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Interactively rematch more addresses |
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190 | (2) |
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Use street TIGER/Line maps to find addresses |
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192 | (3) |
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195 | (2) |
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Create a final comparison map |
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197 | (2) |
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Exercise assignment 6-1 Map mammography clinics by ZIP Code compared to females ages 40--64 |
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199 | (2) |
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Exercise assignment 6-2 Map mammography clinics in a county by street address |
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201 | (2) |
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Analyzing youth pedestrian injuries |
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203 | (38) |
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208 | (16) |
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208 | (1) |
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209 | (2) |
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211 | (3) |
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Extract streets and tracts for Pittsburgh |
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214 | (2) |
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Join tracts and the census data table |
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216 | (1) |
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217 | (1) |
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Clean up your map and rename a shapefile |
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218 | (1) |
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Set the projection for the data and map layers |
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218 | (2) |
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Add City Planning (PAGIS) map layers |
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220 | (1) |
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Dissolve tracts to build the neighborhoods map layer |
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221 | (3) |
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Investigate the correlation of poverty and injuries |
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224 | (10) |
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224 | (2) |
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226 | (2) |
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228 | (2) |
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230 | (1) |
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Count injuries by top and bottom 40 percent quantiles |
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231 | (3) |
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Investigate injuries near parks |
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234 | (7) |
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Build multiple-ring buffers |
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234 | (1) |
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Analyze injuries and population using buffers |
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235 | (5) |
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Exercise assignment 7-1 Additional sensitivity analysis |
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240 | (1) |
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Exercise assignment 7-2 Map injuries near schools and convenience stores |
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241 | |