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Raster modeling using ArcGIS [on hold]


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I am taking a beginners self taught online GIS course and I am trying to determine if my ArcGIS steps are correct.



I have to make a maps that identifies locations in a city to love that are:
1. Close to libraries
2. close to water
3. have a lot of vegetation.
I can do this only using raster tools to eventually create a raster weighted overlay map.



I would ideally like "close" to be set to 1000m.



I am given library data points, a city boundary to work with, DEM, Landsat7 bands 4 & 3. I want to map these all separately.



What I have done first to make a separate map of locations close to libraries:
1. take the Euclidean distance on the libraries
(Do I set the max distance to 1000m?)
2. reclassify to 10 classes
3. Zonal statistics to find (mean or majority?)



For locations close to Vegetations:
1. Find NDVI using raster calculator
2. reclassify
3. zonal statistics



For locations close to water I still haven't done because I'm curious if I'm even on the right track. My understanding is that each map needs to be reclassified the same way in order to do the overlay.










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
    51 mins ago
















0















I am taking a beginners self taught online GIS course and I am trying to determine if my ArcGIS steps are correct.



I have to make a maps that identifies locations in a city to love that are:
1. Close to libraries
2. close to water
3. have a lot of vegetation.
I can do this only using raster tools to eventually create a raster weighted overlay map.



I would ideally like "close" to be set to 1000m.



I am given library data points, a city boundary to work with, DEM, Landsat7 bands 4 & 3. I want to map these all separately.



What I have done first to make a separate map of locations close to libraries:
1. take the Euclidean distance on the libraries
(Do I set the max distance to 1000m?)
2. reclassify to 10 classes
3. Zonal statistics to find (mean or majority?)



For locations close to Vegetations:
1. Find NDVI using raster calculator
2. reclassify
3. zonal statistics



For locations close to water I still haven't done because I'm curious if I'm even on the right track. My understanding is that each map needs to be reclassified the same way in order to do the overlay.










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
    51 mins ago














0












0








0


0






I am taking a beginners self taught online GIS course and I am trying to determine if my ArcGIS steps are correct.



I have to make a maps that identifies locations in a city to love that are:
1. Close to libraries
2. close to water
3. have a lot of vegetation.
I can do this only using raster tools to eventually create a raster weighted overlay map.



I would ideally like "close" to be set to 1000m.



I am given library data points, a city boundary to work with, DEM, Landsat7 bands 4 & 3. I want to map these all separately.



What I have done first to make a separate map of locations close to libraries:
1. take the Euclidean distance on the libraries
(Do I set the max distance to 1000m?)
2. reclassify to 10 classes
3. Zonal statistics to find (mean or majority?)



For locations close to Vegetations:
1. Find NDVI using raster calculator
2. reclassify
3. zonal statistics



For locations close to water I still haven't done because I'm curious if I'm even on the right track. My understanding is that each map needs to be reclassified the same way in order to do the overlay.










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.












I am taking a beginners self taught online GIS course and I am trying to determine if my ArcGIS steps are correct.



I have to make a maps that identifies locations in a city to love that are:
1. Close to libraries
2. close to water
3. have a lot of vegetation.
I can do this only using raster tools to eventually create a raster weighted overlay map.



I would ideally like "close" to be set to 1000m.



I am given library data points, a city boundary to work with, DEM, Landsat7 bands 4 & 3. I want to map these all separately.



What I have done first to make a separate map of locations close to libraries:
1. take the Euclidean distance on the libraries
(Do I set the max distance to 1000m?)
2. reclassify to 10 classes
3. Zonal statistics to find (mean or majority?)



For locations close to Vegetations:
1. Find NDVI using raster calculator
2. reclassify
3. zonal statistics



For locations close to water I still haven't done because I'm curious if I'm even on the right track. My understanding is that each map needs to be reclassified the same way in order to do the overlay.







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 12 mins ago









Vince

14.7k32749




14.7k32749






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
    51 mins 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
    51 mins 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
51 mins 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
51 mins ago










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