Map diagnostics page

[stevenyaga]

This page will provide a diagnostics interface where different datasets can be consulted. See email trail for download of TOR https://mail.google.com/mail/u/0/#search/west/FMfcgzGtwMVVsVRhrJTJhQmDKwhjcfdM.

The link to a sample tool is here https://hydrosolutions.users.earthengine.app/view/cropmapper-georgia-9531039933

@TODO:

• Check if better to develop on top of GEE or as a custom app. Consider cost factor associated with GEE vs the cost of developing a custom interface
• Check availability of data
• Consider option to upload datasets in form of rasters and shapefiles

This feature will support map diagnostics to allow querying of climatic data. Two types of data will be queried i.e vector and raster data. Different types of diagnostics will be performed e.g temperature, rainfall etc.

Resources

• https://claut.gitlab.io/man_ccia/
• https://github.com/monocongo/climate_indices
• https://climate-indices.readthedocs.io/en/latest/
• https://www.drought.gov/data-maps-tools/source-code-climate-and-drought-indices-python-spi-spei-pet
• https://wcrp-cmip.org/
• https://www.youtube.com/watch?v=9XT0ZnqRX4A
• https://notebook.community/royalosyin/Python-Practical-Application-on-Climate-Variability-Studies/ex11-Primary%20analysis%20of%20GPCC%20precipitation%20data
• https://github.com/loicduffar/standard_precip/tree/master
• https://hatarilabs.com/ih-en/analysis-of-precipitation-trends-with-jupyter-python

See #17

[stevenyaga]

The features will be split into majorly 2 functions:

1. Upload feature
2. Technical analysis configuration. This will enable different types of analysis to be configured against the uploaded data

1. Upload data

• This module will handle all forms of technical data uploads that may be available for reference. The datasets will fall into 3 categories:

1. Tabular. This is data that is organized into rows and columns
2. Vector. This is data represented as points, polygons or lines

3. Raster. This is data represented as pixel values

   • The user needs to specify the lowest level of organization for the supplied data

Tabular data

• If the lowest level is:

1. Ward. The user will specify which columns stores the values for ward, sub-county and county
2. Sub-County. The user will specify which columns stores the values for sub-county and county
3. County. The user will specify which column specifies the values for county

Raster data

• The user will specify if the pixel values are continuous or discrete

Vector data

• The user will list the attributes of the shape files

2. Technical Analysis

• Users will specify different types of analysis that can be performed against the uploaded data. Multiple analysis can be performed against a single dataset
• Analysis can be one of the following:

1. Raster analysis
2. Vector analysis
3. Tabular analysis

Raster analysis

• The user will specify an interpretation for the data; i.e what does a specific value or a range of values of a pixel mean
• For each pixel value, the user will specify the color to be used

Vector analysis

• The user will specify the attribute to be used for analysis. There will be a provision to input a formula that will encompass multiple attributes
• The user will specify an interpretation for the data; i.e what does a specific value or a range of values for an attribute or computation mean
• For each value or range of values, the user will specify which color to be used

Tabular analysis

• The user will specify the column to be used for analysis. There will be a provision to input a formula that will encompass multiple columns
• The user will specify an interpretation for the data; i.e what does a specific value or a range of values for an column or computation mean
• For each computation value or range of values, the user will specify which color to be used