Add the uncertainty dataset

README.md

@@ -20,7 +20,7 @@ The open datasets published in the [Data in Brief](https://doi.org/10.1016/j.dib
 |E-mail|[email protected]|
 
 ## Open datasets
-We built a spatial database Carbon Dioxide emissions and urban form fragmentation for the low carbon urban system in Jinjiang city, China. Detailed information can see in this [url](http://science.gisersqdai.top/DIB/DIBdata.nb.html).
+We built a spatial database Carbon Dioxide emissions and urban form fragmentation for the low carbon urban system in Jinjiang city, China. Detailed information can see in this [url](http://science.gisersqdai.top/DIB/DIBdata.html).
 
 ![Carbon Dioxide emissions maps at 30 m](https://github.com/GISerDaiShaoqing/Urban-Carbon-Dioxide-sources-gridded-maps-and-its-detemination-in-Jinjiang-city/blob/master/30m.png)
 
@@ -32,11 +32,11 @@ If you find this data useful in your work, please consider citing:
 ```
 @dataset{shaoqing_dai_2019_3566073,
    author = {Shaoqing Dai, Shudi Zuo, Yin Ren},
-   title = {{GISerDaiShaoqing/Urban-Carbon-Dioxide-sources-gridded-maps-and-its-detemination-in-Jinjiang-city 0.4}},
+   title = {{GISerDaiShaoqing/Urban-Carbon-Dioxide-sources-gridded-maps-and-its-detemination-in-Jinjiang-city 0.6}},
    month = Feb,
    year = 2020,
    publisher = {Zenodo},
-   version = {0.5},
+   version = {0.6},
    doi = {10.5281/zenodo.3566072},
    url = {https://doi.org/10.5281/zenodo.3566072}
 }
@@ -65,7 +65,7 @@ If you find this data useful in your work, please consider citing:
 ```
 ```
 @inproceedings{Dai2018sacp,  
-   title={High-resolution mapping of direct CO_2 emissions and uncertainties at the urban scale},
+   title={High-resolution mapping of direct CO2 emissions and uncertainties at the urban scale},
    author={Shaoqing Dai, Shudi Zuo, Yin Ren},
    booktitle={Proceedings of Spatial Accuracy 2018},
    year={2018},
@@ -76,7 +76,7 @@ If you find this data useful in your work, please consider citing:
 ```
 @article{rs12233932,
   author = {Shaoqing Dai and Yin Ren and Shudi Zuo and Chengyi Lai and Jiajia Li and Shengyu Xie and Bingchu Chen},
-  title = {Investigating the Uncertainties Propagation Analysis of $CO_2$ Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China},
+  title = {Investigating the Uncertainties Propagation Analysis of CO2 Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China},
   journal = {Remote Sensing},
   volume = {12},
   number = {23},

dataset/DataDescription.txt

@@ -22,4 +22,16 @@ POID500.tif:      Point of interest density (POID) at 500 m
 fcmix30.tif:      The mixing degree of urban functional district (UFD) at 30 m
 fcmix500.tif:     The mixing degree of urban functional district (UFD) at 500 m
 LCU30.txt:        The Lacunarity indices at 30 m
-LCU500.txt:       The Lacunarity indices at 500 m
+LCU500.txt:       The Lacunarity indices at 500 m
+U1_30_total.tif:  The propagated uncertainty of total Carbon Dioxide emissions gridded map at 30 m caused by gridded model
+U1_30_res.tif:    The propagated uncertainty of residential Carbon Dioxide emissions gridded map at 30 m caused by gridded model
+U1_30_ind.tif:    The propagated uncertainty of industrial Carbon Dioxide emissions gridded map at 30 m caused by gridded model
+U1_30_trans.tif:  The propagated uncertainty of transport Carbon Dioxide emissions gridded map at 30 m caused by gridded model
+U1_500_total.tif: The propagated uncertainty of total Carbon Dioxide emissions gridded map at 500 m caused by gridded model
+U1_500_res.tif:   The propagated uncertainty of residential Carbon Dioxide emissions gridded map at 500 m caused by gridded model
+U1_500_ind.tif:   The propagated uncertainty of industrial Carbon Dioxide emissions gridded map at 500 m caused by gridded model
+U1_500_trans.tif: The propagated uncertainty of transport Carbon Dioxide emissions gridded map at 500 m caused by gridded model
+U3_30.tif:        The propagated uncertainty of total Carbon Dioxide emissions gridded map at 30 m caused by model input(total emissions estimation, activity levels)
+U3_500.tif:       The propagated uncertainty of total Carbon Dioxide emissions gridded map at 500 m caused by model input(total emissions estimation, activity levels)
+U4_30.tif:        The propagated uncertainty of total Carbon Dioxide emissions gridded map at 30 m caused by model input(spatial proxies)
+U4_500.tif:       The propagated uncertainty of total Carbon Dioxide emissions gridded map at 500 m caused by model input(spatial proxies)

presentation/CEMU.bib

@@ -40,11 +40,11 @@ @article{rs12233932
 
 @dataset{shaoqing_dai_2019_3566073,
   author = {Shaoqing Dai and Shudi Zuo and Yin Ren},
-  title = {{GISerDaiShaoqing/Urban-Carbon-Dioxide-sources-gridded-maps-and-its-detemination-in-Jinjiang-city 0.5}},
+  title = {{GISerDaiShaoqing/Urban-Carbon-Dioxide-sources-gridded-maps-and-its-detemination-in-Jinjiang-city 0.6}},
   month = dec,
   year = 2019,
   publisher = {Zenodo},
-  version = {0.5},
+  version = {0.6},
   doi = {10.5281/zenodo.3566072},
   url = {https://doi.org/10.5281/zenodo.3566072}
 }

presentation/DIBdata.Rmd

@@ -7,8 +7,9 @@ output:
   html_document:
     df_print: paged
     toc: yes
-  html_notebook:
-    toc: yes
+    toc_float:
+      collapsed: true
+      smooth_scroll: true
 bibliography: CEMU.bib
 ---
 
@@ -287,5 +288,11 @@ Download links as follow:
 
 [R 500 m](http://science.gisersqdai.top/DIB/POID500.tif)
 
+## Uncertainty
+
+We also assessed the uncertainty of Spatial distribution maps of $CO_2$ emissions, detailed information could see the [published paper](https://www.mdpi.com/2072-4292/12/23/3932) and [website](http://science.gisersqdai.top/RSunco2/rsbrief.html).
+
+
+
 # Reference 
 If you used the data[@rs12233932; @Dai2018sacp; @ZUO2019118659; @DAI2020105274; @shaoqing_dai_2019_3566073], please cited as follow: