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Ins and Outs of Mapping: GIS = efficiency for your garden Patrick Griffith  Michael Calonje Ericka Witcher Chad Husby M ONTGOMERY  B OTANICAL  C ENTER Miami, Florida, USA
GIS = efficiency  for your garden Ins   and   Outs   of Mapping: ide the garden ide /   Patrick Griffith  Michael Calonje Ericka Witcher Chad Husby M ONTGOMERY  B OTANICAL  C ENTER Miami, Florida, USA
INTRODUCTION CONTEXT EXAMPLES CONCLUSION
INTRODUCTION basic “efficiency” ethic: maximize output minimize waste CONTEXT EXAMPLES CONCLUSION
INTRODUCTION basic “efficiency” ethic: maximize output minimize waste stated plainly:  get more work done.  spend less money. use less time. CONTEXT EXAMPLES CONCLUSION
INTRODUCTION CONTEXT EXAMPLES CONCLUSION
BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work MBC mapping systems, 2004
BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work legacy system gave some frustrations MBC mapping systems, 2004
BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work legacy system gave some frustrations . . . so we considered some options MBC mapping systems, 2004
 
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue
[object Object],[object Object],[object Object],[object Object]
the most critical part of your mapping system: ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],the most critical part of your mapping system:
[object Object],[object Object],[object Object],[object Object],RECRUIT  TRAIN  SUPPORT the most critical part of your mapping system:
land management experience
field botany experience land management experience
geography student field botany experience land management experience
geography student environmental science student field botany experience land management experience
geography student environmental science student leverage this knowledge field botany experience land management experience
geography student environmental science student field botany experience integrate GIS leverage this knowledge land management experience
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
2007-2009:  systems in transition
2010:  current systems
2010:  current systems note: use Microsoft Excel here.
INTRODUCTION CONTEXT EXAMPLES CONCLUSION
INTRODUCTION CONTEXT EXAMPLES CONCLUSION inside the garden,  outside the garden
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five inside the garden,  outside the garden
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS grids and   areas
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for casual visitors
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for growth and development studies
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for growth and development studies volunteer labor
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five Inside the garden,  outside the garden
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden,  outside the garden LANDSCAPE PLANNING example   two
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden,  outside the garden LANDSCAPE PLANNING example   two 1 plant = ca. 7 m 1 acre = ca. 550 plants 2
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden,  outside the garden LANDSCAPE PLANNING example   two elevation
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden,  outside the garden LANDSCAPE PLANNING example   two elevation free data (!)
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden,  outside the garden LANDSCAPE PLANNING example   two wind damage
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example   three example four example five inside the garden,  outside the garden
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden,  outside the garden INVASIVE SPECIES MANAGEMENT example three
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden,  outside the garden INVASIVE SPECIES MANAGEMENT example three
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden,  outside the garden INVASIVE SPECIES MANAGEMENT example three intern project: scoping the extent of removal work
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden,  outside the garden INVASIVE SPECIES MANAGEMENT example three intern project: scoping the extent of removal work
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five inside the garden,  outside the garden
C ORAL  G ABLES  C ITY  H ALL
C ORAL  G ABLES  C ITY  H ALL new building at MBC permits needed
C ORAL  G ABLES  C ITY  H ALL new building at MBC permits needed required: map and mailing labels  city’s estimate: 6 weeks / $ several thousand
C ORAL  G ABLES  C ITY  H ALL produced “in-house”
C ORAL  G ABLES  C ITY  H ALL actual cost: FREE actual timeframe: 1/2 day produced “in-house”
INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example   five (far) outside the garden
Chicamocha, Colombia
Chicamocha, Colombia
Chicamocha, Colombia Zamia encephalartoides
vulnerable cycad species census and monitoring project
optical survey from ridgeline, 2008
optical survey from ridgeline, 2008
optical survey from ridgeline, 2008 telephoto
optical survey from ridgeline, 2008 telephoto can this be visualized (more) remotely?
satellite image, 60cm res. georeferenced
satellite image, 60cm res. georeferenced Z. encephalartoides
ArcGIS, 3D analyst + QuickBird 60cm res. image  remotely visualizing habitat
greatly enhanced planning = more effective conservation fieldwork
INTRODUCTION CONTEXT EXAMPLES CONCLUSION
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  now it’s 2010
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  now it’s 2010 let’s look back at the old options
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  function is better integrated specific problems solved. frustrations reduced “ light” solutions available 2010:
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  function is better integrated specific problems solved. frustrations reduced “ light” solutions available 2010:
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  2010:
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  data is still hosted onsite our expertise meets our needs “ light” solutions available 2010:
OPTION ONE (2005):  custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems.  ADDITIONAL COSTS: over $300,000 in year one variable afterwards.  OPTION TWO (2006):  university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.  OPTION THREE:  Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue  data is still hosted onsite our expertise is OK “ light” solutions available 2010:
recommendations for your mapping system:
recommendations for your mapping system: [  and editorial  ]
1.  first,   build a great team.  recommendations for your mapping system:
1.  first,   build a great team.  recommendations for your mapping system: [  every success starts here!  ]
1.  first,   build a great team.  2. don’t start over; unique = too expensive  recommendations for your mapping system:
1.  first,   build a great team.  2. don’t start over; unique = too expensive  recommendations for your mapping system: [  use common software and free data  ]
1.  first,   build a great team.  2. don’t start over; unique = too expensive  3. incrementally integrate systems  as needed . recommendations for your mapping system:
1.  first,   build a great team.  2. don’t start over; unique = too expensive  3. incrementally integrate systems  as needed . recommendations for your mapping system: [  just solve specific problems  ]
1.  first,   build a great team.  2. don’t start over; unique = too expensive  3. incrementally integrate systems  as needed . 4. it will be less expensive (or free) in the future. recommendations for your mapping system:
1.  first,   build a great team.  2. don’t start over; unique = too expensive  3. incrementally integrate systems  as needed . 4. it will be less expensive (or free) in the future. recommendations for your mapping system: [  don’t overpay -- be patient  ]
Thank you.

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Not Just Dots on a Map: How Geography Influences Real World Decisions Part 1

  • 1. Ins and Outs of Mapping: GIS = efficiency for your garden Patrick Griffith Michael Calonje Ericka Witcher Chad Husby M ONTGOMERY B OTANICAL C ENTER Miami, Florida, USA
  • 2. GIS = efficiency for your garden Ins and Outs of Mapping: ide the garden ide / Patrick Griffith Michael Calonje Ericka Witcher Chad Husby M ONTGOMERY B OTANICAL C ENTER Miami, Florida, USA
  • 4. INTRODUCTION basic “efficiency” ethic: maximize output minimize waste CONTEXT EXAMPLES CONCLUSION
  • 5. INTRODUCTION basic “efficiency” ethic: maximize output minimize waste stated plainly: get more work done. spend less money. use less time. CONTEXT EXAMPLES CONCLUSION
  • 7. BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work MBC mapping systems, 2004
  • 8. BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work legacy system gave some frustrations MBC mapping systems, 2004
  • 9. BG-Base BG-Map inventory laser survey quadrant maps, etc. phenology work legacy system gave some frustrations . . . so we considered some options MBC mapping systems, 2004
  • 10.  
  • 11. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards.
  • 12. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college.
  • 13. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue
  • 14.
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  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
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  • 25. field botany experience land management experience
  • 26. geography student field botany experience land management experience
  • 27. geography student environmental science student field botany experience land management experience
  • 28. geography student environmental science student leverage this knowledge field botany experience land management experience
  • 29. geography student environmental science student field botany experience integrate GIS leverage this knowledge land management experience
  • 30.
  • 31.
  • 32.
  • 33.
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  • 35.
  • 36.
  • 37.
  • 38.  
  • 39. 2007-2009: systems in transition
  • 40. 2010: current systems
  • 41. 2010: current systems note: use Microsoft Excel here.
  • 43. INTRODUCTION CONTEXT EXAMPLES CONCLUSION inside the garden, outside the garden
  • 44. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five inside the garden, outside the garden
  • 45. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS
  • 46. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS grids and areas
  • 47. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for casual visitors
  • 48. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for growth and development studies
  • 49. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example two example three example four example five example one BASIC MAPS for growth and development studies volunteer labor
  • 50. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five Inside the garden, outside the garden
  • 51. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden, outside the garden LANDSCAPE PLANNING example two
  • 52. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden, outside the garden LANDSCAPE PLANNING example two 1 plant = ca. 7 m 1 acre = ca. 550 plants 2
  • 53. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden, outside the garden LANDSCAPE PLANNING example two elevation
  • 54. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden, outside the garden LANDSCAPE PLANNING example two elevation free data (!)
  • 55. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example three example four example five Inside the garden, outside the garden LANDSCAPE PLANNING example two wind damage
  • 56. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five inside the garden, outside the garden
  • 57. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden, outside the garden INVASIVE SPECIES MANAGEMENT example three
  • 58. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden, outside the garden INVASIVE SPECIES MANAGEMENT example three
  • 59. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden, outside the garden INVASIVE SPECIES MANAGEMENT example three intern project: scoping the extent of removal work
  • 60. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example four example five inside the garden, outside the garden INVASIVE SPECIES MANAGEMENT example three intern project: scoping the extent of removal work
  • 61. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five inside the garden, outside the garden
  • 62. C ORAL G ABLES C ITY H ALL
  • 63. C ORAL G ABLES C ITY H ALL new building at MBC permits needed
  • 64. C ORAL G ABLES C ITY H ALL new building at MBC permits needed required: map and mailing labels city’s estimate: 6 weeks / $ several thousand
  • 65. C ORAL G ABLES C ITY H ALL produced “in-house”
  • 66. C ORAL G ABLES C ITY H ALL actual cost: FREE actual timeframe: 1/2 day produced “in-house”
  • 67. INTRODUCTION CONTEXT EXAMPLES CONCLUSION example one example two example three example four example five (far) outside the garden
  • 70. Chicamocha, Colombia Zamia encephalartoides
  • 71. vulnerable cycad species census and monitoring project
  • 72. optical survey from ridgeline, 2008
  • 73. optical survey from ridgeline, 2008
  • 74. optical survey from ridgeline, 2008 telephoto
  • 75. optical survey from ridgeline, 2008 telephoto can this be visualized (more) remotely?
  • 76. satellite image, 60cm res. georeferenced
  • 77. satellite image, 60cm res. georeferenced Z. encephalartoides
  • 78. ArcGIS, 3D analyst + QuickBird 60cm res. image remotely visualizing habitat
  • 79. greatly enhanced planning = more effective conservation fieldwork
  • 81. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue now it’s 2010
  • 82. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue now it’s 2010 let’s look back at the old options
  • 83. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue
  • 84. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue function is better integrated specific problems solved. frustrations reduced “ light” solutions available 2010:
  • 85. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue function is better integrated specific problems solved. frustrations reduced “ light” solutions available 2010:
  • 86. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue 2010:
  • 87. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue data is still hosted onsite our expertise meets our needs “ light” solutions available 2010:
  • 88. OPTION ONE (2005): custom solution. BENEFITS: fully integrated system. built to our “unique” specs. exceeding all other systems. ADDITIONAL COSTS: over $300,000 in year one variable afterwards. OPTION TWO (2006): university CS partner. BENEFITS: deep expertise cutting edge systems ADDITIONAL COSTS: $5,000 in year one. $2,000 yearly. data stored at college. OPTION THREE: Leave it alone. BENEFITS: we know our systems our systems work OK ADDITIONAL COSTS: frustrations may continue data is still hosted onsite our expertise is OK “ light” solutions available 2010:
  • 89. recommendations for your mapping system:
  • 90. recommendations for your mapping system: [ and editorial ]
  • 91. 1. first, build a great team. recommendations for your mapping system:
  • 92. 1. first, build a great team. recommendations for your mapping system: [ every success starts here! ]
  • 93. 1. first, build a great team. 2. don’t start over; unique = too expensive recommendations for your mapping system:
  • 94. 1. first, build a great team. 2. don’t start over; unique = too expensive recommendations for your mapping system: [ use common software and free data ]
  • 95. 1. first, build a great team. 2. don’t start over; unique = too expensive 3. incrementally integrate systems as needed . recommendations for your mapping system:
  • 96. 1. first, build a great team. 2. don’t start over; unique = too expensive 3. incrementally integrate systems as needed . recommendations for your mapping system: [ just solve specific problems ]
  • 97. 1. first, build a great team. 2. don’t start over; unique = too expensive 3. incrementally integrate systems as needed . 4. it will be less expensive (or free) in the future. recommendations for your mapping system:
  • 98. 1. first, build a great team. 2. don’t start over; unique = too expensive 3. incrementally integrate systems as needed . 4. it will be less expensive (or free) in the future. recommendations for your mapping system: [ don’t overpay -- be patient ]