Published July 28, 2019
| Version v2
Dataset
Open
A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018
Description
In this project, "A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018", we built a model to predict the mean, maximum, and minimum temperature on each day at each square in a 1-km grid for an area around Mexico City.
See the README at https://github.com/justlab/Mexico_temperature/blob/master/README.rst for more information and instructions.
Files
manuscript_code_bits.txt
Files
(11.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:537adf40a3e332b2c393435bf0ca0a91
|
54.5 MB | Download |
|
md5:2826bbabbb22abd14654a19e968d7aed
|
4.2 MB | Download |
|
md5:27e015faa8bfd0e8d671e5e48e79edf5
|
20.0 kB | Preview Download |
|
md5:0e1def77b24f7708d20bcc0d50fdfa33
|
3.2 MB | Download |
|
md5:010234791444bda9da9668c2529fcba6
|
908.6 kB | Download |
|
md5:f6261b6ecd973c878e6c42850cbcc97e
|
185.0 MB | Download |
|
md5:5802cc380df69fc22d99f91d249d9c60
|
185.5 MB | Download |
|
md5:d3ca05b53df9d9c039c86f03deb10b64
|
184.8 MB | Download |
|
md5:e5078ad6792b4d9d893804f27606b751
|
185.1 MB | Download |
|
md5:5591ddd846fa318a646dca51d2e34a3b
|
185.0 MB | Download |
|
md5:126003711ecd6a714b9583b7428646c9
|
185.6 MB | Download |
|
md5:45fe1d5d596040b3e2da2a9b1e0dcea1
|
185.0 MB | Download |
|
md5:1941a71d080f7851b417bb0536090e63
|
185.3 MB | Download |
|
md5:a4b0be7c05ffe9f416baaa44ab51214b
|
185.2 MB | Download |
|
md5:642f1dc6190447262d1c9b5ca6fd7561
|
185.6 MB | Download |
|
md5:0a2a23d1e1fcc0b1f19f9db264e5705b
|
185.1 MB | Download |
|
md5:05ef14ab9dfaad4eaa688e655cd85a77
|
185.1 MB | Download |
|
md5:d6495a3622da768655b08a26e4c6f6fe
|
184.9 MB | Download |
|
md5:80a31bd81a8684eb4c6c504f3dc49253
|
185.6 MB | Download |
|
md5:33299de0d4e04de938a423a3d014ef86
|
185.3 MB | Download |
|
md5:94c5f0186049b047bb9347f22e3c8606
|
185.0 MB | Download |
|
md5:6ccdebc64c869aee3cdac3046dbfa609
|
8.0 GB | Download |