How do I Delete post [on hold]Import raster into ArcGISSum values within one raster (25m) using another...

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How do I Delete post [on hold]


Import raster into ArcGISSum values within one raster (25m) using another raster (1km) ArcGIS Desktop 10.2Changing raster resolution using ArcGIS for Desktop?Creating buffer around particular raster cells using ArcGIS for Desktop?Building attribute table in 3-band raster using ArcGIS Desktop?Snapping existing raster to another existing raster using ArcGIS for Desktop?Converting raster with attribute table to ASCII using ArcGIS Desktop?Changing double precision raster file using ArcGIS Desktop?Raster sampling using ArcGIS Desktop?Selecting polygons by raster RGB values using ArcGIS Desktop?













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put on hold as too broad by Fezter 1 hour ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.














  • 2





    Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

    – Fezter
    1 hour ago











  • Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

    – Michael Stimson
    1 hour ago











  • If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

    – Michael Stimson
    28 secs ago
















0















How do I delete this post?
I am new and I dont know how










share|improve this question









New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











put on hold as too broad by Fezter 1 hour ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.














  • 2





    Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

    – Fezter
    1 hour ago











  • Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

    – Michael Stimson
    1 hour ago











  • If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

    – Michael Stimson
    28 secs ago














0












0








0


0






How do I delete this post?
I am new and I dont know how










share|improve this question









New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












How do I delete this post?
I am new and I dont know how







arcgis-desktop raster arcgis-10.2






share|improve this question









New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question








edited 4 mins ago







monika













New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 1 hour ago









monikamonika

11




11




New contributor




monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






monika is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




put on hold as too broad by Fezter 1 hour ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.









put on hold as too broad by Fezter 1 hour ago


Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.










  • 2





    Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

    – Fezter
    1 hour ago











  • Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

    – Michael Stimson
    1 hour ago











  • If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

    – Michael Stimson
    28 secs ago














  • 2





    Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

    – Fezter
    1 hour ago











  • Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

    – Michael Stimson
    1 hour ago











  • If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

    – Michael Stimson
    28 secs ago








2




2





Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

– Fezter
1 hour ago





Please edit your post to include the full details of the problem you are having. There are plenty of people who will help on this site, but we can only help if we know what specific problem you are having. It's also worth visiting the tour page to learn about our focused Q/A format.

– Fezter
1 hour ago













Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

– Michael Stimson
1 hour ago





Sorry monika there's not enough information there to help. It does sound like you're sort of on the right track with Euclidean distance with a max of 1000 but I don't understand why you're reclassifying into 10 classes. Can you link to the page you're working from or copy/paste the objective verbatim so we can understand where the lesson is headed.

– Michael Stimson
1 hour ago













If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

– Michael Stimson
28 secs ago





If 'close' is 1km then no need to reclassify unless you want a higher score for really really close, a IsNull on Euclidean raster will give a 1 for too far, 0 for close but you might want to invert (1=good, 2=bad), the same for water and veg so you have 3 rasters with 1 is good, 0 is bad then Cell Statistics resources.arcgis.com/en/help/main/10.2/index.html#//… the 3 input rasters with a statistic type of sum and you will end up with a ranked raster where 3 is optimal, 0 is unsuitable and other values are not so good. Hopefully this doesn't contradict the tutorial.

– Michael Stimson
28 secs ago










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