I need to get the longitude and latitude of a location from a text file through AJAX then create a map using that information. This is what I have done:
function createMap(){
var request;
if (window.XMLHttpRequest)
{
request = new XMLHttpRequest();
}
if (request)
{
var number = Math.floor( (Math.random() * 3) + 1 );
var url = "text_" + number + ".txt";
request.open("GET", url,true);
request.onreadystatechange = function()
{
if (request.readyState == 4 && request.status == 200)
{
var syd=new google.maps.LatLng(-33.884183, 151.214944);
var woll=new google.maps.LatLng(request.responseText);
function initialize()
{
var mapProp = {
center:syd,
zoom:6,
mapTypeId:google.maps.MapTypeId.ROADMAP
};
var map=new google.maps.Map(document.getElementById("outputAJAX"),mapProp);
var myTrip=[syd,woll];
var flightPath=new google.maps.Polyline({
path:myTrip,
strokeColor:"#0000FF",
strokeOpacity:0.8,
strokeWeight:2
});
flightPath.setMap(map);
}
initialize();
}
}
request.send();
} else {
document.getElementById("outputAJAX").innerHTML = "<span style='font-weight:bold;'>AJAX</span> is not supported by this browser!";
}}
However, the map didn't show up. Do you guys have any suggestion?
A google.maps.LatLng object takes two Numbers as its arguments:
LatLng(lat:number, lng:number, noWrap?:boolean) Creates a LatLng object representing a geographic point. Latitude is specified in degrees within the range [-90, 90]. Longitude is specified in degrees within the range [-180, 180]. Set noWrap to true to enable values outside of this range. Note the ordering of latitude and longitude.
This won't work (you are only passing one argument, a string):
var woll=new google.maps.LatLng(request.responseText);
Assuming request.responseText is a comma separated string containing two numeric values, this should work:
var coordStr = request.responseText;
var coords = coordStr.split(",");
var woll = new google.maps.LatLng(parseFloat(coords[0]),
parseFloat(coords[1]));
proof of concept fiddle
Related
Landsat and MODIS products both have their advantages. Landsat with its high spatial resolution and MODIS with its high temporal resolution. I've read a lot about downloading the files and fuse them locally with algorithms like STARFM in Python for example. Is there a way to fuse both collections directly in Google Earth Engine to save computational time?
There is Google earth engine code in GitHub. The link is below:
https://github.com/MacGallagher/GEE_STARFM_FUSION
The code I copied is below:
/**** Start of imports. If edited, may not auto-convert in the playground. ****/
var l8 = ee.ImageCollection("LANDSAT/LC08/C01/T1_SR"),
modis = ee.ImageCollection("MODIS/006/MOD09GQ"),
geometry4 = /* color: #d63000 */ee.Geometry.Polygon(
[[[-116.004638671875, 42.809506838324204],
[-115.59539794921875, 42.78129125156276],
[-115.499267578125, 43.004647127794435],
[-115.499267578125, 43.28920196020127],
[-116.00189208984375, 43.35114690203121],
[-116.19415283203125, 43.07691312608711]]]),
geometry = /* color: #98ff00 */ee.Geometry.Polygon(
[[[-115.93391418457031, 43.09346209534859],
[-115.80276489257812, 43.095718426590174],
[-115.80276489257812, 43.161366298103566],
[-115.9332275390625, 43.16086543618915]]]);
/***** End of imports. If edited, may not auto-convert in the playground. *****/
// based on script by Faye Peters, University of Louisville
// modified by Megan Gallagher, Boise State University
// for code inquiries, or adjustments please email megangallagher#u.boisestate.edu
// code exists for:
// landsat 5,7, and 8 NDVI merging with MODIS Terra daily
// MODIS Terra and Sentinel-2
// Landsat pre tier and modis daily terra - works with base R code
// Landsat 8 and Sentinel-2
////////////////////////////////////////Variables//////////////////////////////////////////////
// import Landsat 8 and MODIS daily terra surface reflectance 250m
var region = geometry; //region you want to export
var bounds = geometry4 //outer bounds of image to catch boundary effect, make larger than region
var date_begin = '2016-03-02' //start date of data collection, must be a landsat image date
var date_end ='2016-10-13' // end date of data collection, must be the day AFTER last landsat image
var csv_title = '2016_Dates_BOP' //title of csv output
var ls_title = '2016_landsat' // title of landsat tif file
var mod_title = '2016_mod' // title of modis tif file
/////////////////////////////////////////Code////////////////////////////////////////////////////////////////////////
var starfm = function(modis, l8){
//Preliminary filtering of MODIS and Landsat
var filt_mod = modis.filterDate(date_begin, date_end);
var filt_l8 = l8.filterDate(date_begin, date_end)
.filterBounds(bounds);
//add bounds to subset area
var subset_bounds = bounds.transform('EPSG:4326', 30).bounds().getInfo();
// get rid of bad pixels but keep metadata date information
var removeBadObservations = function(image){
var valid_data_mask = ee.Image(image).select('pixel_qa').bitwiseAnd(2).neq(0);
var numberBandsHaveData =
image.mask().reduce(ee.Reducer.sum());
var allOrNoBandsHaveData =
numberBandsHaveData.eq(0).or(numberBandsHaveData.gte(9));
var allBandsHaveData = allOrNoBandsHaveData;
//Make sure no band is just under zero
var allBandsGT = image.reduce(ee.Reducer.min()).gt(-0.001);
var result = ee.Image(image).mask(image.mask().and(valid_data_mask).and(allBandsHaveData).and(allBandsGT));
return result.copyProperties(ee.Image(image),['system:time_start']);
};
//NDVI functions for Landsat and MODIS
var getNDVI_mod = function(image){
return image
.addBands(image.normalizedDifference(['sur_refl_b02','sur_refl_b01']).multiply(10000).rename('NDVI'));};
var getNDVI_l8= function(image){
var ndvi = ee.Image(image).normalizedDifference(['B5','B4']);
return ndvi.copyProperties(ee.Image(image),['system:time_start']);
};
var filt2_l8= filt_l8.filterBounds(subset_bounds).aside(print).map(removeBadObservations).map(getNDVI_l8);
// update mask for different areas
var subset_mask = ee.Image().byte().paint(geometry4, "id").add(1);
var filtered_modis = filt_mod.filterBounds(subset_bounds).aside(print).map(getNDVI_mod);
// Pull out the date:
var extract_modis_date = function(row) {
var d = ee.Date(row.get('system:time_start'));
var d2 = ee.Date.fromYMD(d.get('year'), d.get('month'), d.get('day'));
var result = ee.Feature(null, {'date': d2});
result = result.set({'date': d2});
return result;
};
var getQABits = function(image, start, end, newName) {
//// Compute the bits we need to extract.
var pattern = 0;
for (var i = start; i <= end; i++) {
pattern += Math.pow(2, i);
}
//// Return a single band image of the extracted QA bits, giving the band a new name.
return image.select([0], [newName])
.bitwiseAnd(pattern)
.rightShift(start); };
print(filtered_modis);
filtered_modis = filtered_modis.map(function(image){
var quality = getQABits(image.select(2), 4, 5, 'QAMask');
quality = quality.eq(3).not();
return image.clip(subset_bounds).mask(image.mask().multiply(subset_mask).multiply(quality));
});
filtered_modis = filtered_modis.select('NDVI'); //Take only NDVI band
var modis_multiband = ee.Image(filtered_modis.filterDate(date_begin, date_end).iterate( function(x, modis_multiband) {
return ee.Image(modis_multiband).addBands(ee.Image(x));
}, filtered_modis.first()));
var dates_modis = filtered_modis.map(extract_modis_date);
print(dates_modis.getInfo());
var filt2_l8_ndvi = filt2_l8.map(function(image) {
return ee.Image(image)
.clip(subset_bounds)
.mask(ee.Image(image).mask().multiply(subset_mask));
});
//use this to choose the range of days, and check for overlap
var day_expand = 1;
var reduceLandsatNDVI = function(MODISdate) {
MODISdate = ee.Date(MODISdate.get('date'));
var ndvi_subset = ee.ImageCollection(filt2_l8_ndvi).filterDate( MODISdate,
MODISdate.advance(day_expand, 'day') );
ndvi_subset = ndvi_subset.map(function (image) {
var diff = MODISdate.difference(ee.Date(ee.Image(image).get('system:time_start')), 'day').abs();
return ee.Image(image).set('diff', diff);
});
ndvi_subset = ndvi_subset.sort('diff');
var ndvi_first = ndvi_subset.reduce('first');
var ndvi_mean = ndvi_subset.reduce('mean');
return ee.Algorithms.If(
ndvi_first.bandNames(),
ndvi_first.eq(0).multiply(ndvi_mean).add(ndvi_first),
ee.Image(0)
);
};
var extract_landsat_date = function(MODISdate) {
MODISdate = ee.Date(MODISdate.get('date'));
var ndvi_subset =
ee.ImageCollection(filt2_l8_ndvi).filterDate( MODISdate,
MODISdate.advance(day_expand, 'day') );
ndvi_subset = ndvi_subset.map(function (image) {
var diff = MODISdate.difference(ee.Date(ee.Image(image).get('system:time_start')), 'day').abs();
return ee.Image(image).set('diff', diff);
});
ndvi_subset = ndvi_subset.sort('diff');
var d = ndvi_subset.aggregate_first('system:time_start');
var count = ndvi_subset.aggregate_count('system:time_start');
d = ee.Algorithms.If(
ee.Number(count).gt(0),
ee.Date(d),
ee.Date('1971-01-01')
);
d = ee.Date(d);
var d2 = ee.Date.fromYMD(d.get('year'), d.get('month'),
d.get('day'));
var result = ee.Feature(null, {'LSdate': d2, 'MODISdate':
MODISdate, 'CountLSScenes': count});
result = result.set({'LSdate': d2, 'MODISdate': MODISdate,
'CountLSScenes': count});
return result;
};
var ls_collection = dates_modis.map(reduceLandsatNDVI);
print(ls_collection,'ls collection');
var dates_landsat = dates_modis.map(extract_landsat_date);
Export.table(dates_landsat, csv_title);
var ls_multiband = ls_collection.iterate( function(x,
ls_multiband)
{ return ee.Image(ls_multiband).addBands(ee.Image(x));
}, ls_collection.first());
ls_multiband = ee.Image(ls_multiband).multiply(10000).int16();
ls_multiband = ls_multiband.mask(ls_multiband.mask().multiply(ls_multiband.neq(0)));
//remove repeated first layer
var ls_multiband2=ee.Image(ls_multiband.slice(1))
var modis_multiband2=ee.Image(modis_multiband.slice(1))
Export.image.toDrive({
image: modis_multiband2,
description: mod_title,
crs:'EPSG:4326 ',
region:region,
scale:30
});
Export.image.toDrive({
image: ls_multiband2,
description: ls_title,
crs:'EPSG:4326',
region:region,
scale:30
});
return 'Done!'
}
var running = starfm(modis,l8)
print(running)
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////
I have data from a questionnaire (20K rows) that I need to share with the store managers (report) of our shops (400 shops). I managed to write a script that sends a pdf of my sheet to a list of e-mail addresses. But I'm stuck on writing the loop for the filter, since I can't get the setVisibleValues(values) function to work for FilterCriteriaBuilder. The setHiddenValues(values) function works, but I can't figure out how to combine that with the loop.
Sample of my Google Sheet
See below for my current code:
/**
* Filtersheet by location
*/
function FilterSheet() {
var spreadsheet = SpreadsheetApp.getActive().getSheetByName('Data')
spreadsheet.getRange('F1').activate();
var criteria = SpreadsheetApp.newFilterCriteria()
.setHiddenValues(['Amsterdam, Rotterdam'])
.build();
spreadsheet.getFilter().setColumnFilterCriteria(6, criteria);
};
/**
* Send pdf of currentspreadsheet
*/
function SendPdf() {
var ss = SpreadsheetApp.getActiveSpreadsheet();
var spreadsheet = SpreadsheetApp.getActive().getSheetByName('Adres');
var blob = DriveApp.getFileById(ss.getId()).getAs("application/pdf");
blob.setName(ss.getName() + ".pdf");
var startRow = 2; // First row of data to process
var numRows = 2; // Number of rows to process
// Fetch the range of cells A2:B3
var dataRange = spreadsheet.getRange(startRow, 1, numRows, 2);
// Fetch values for each row in the Range.
var data = dataRange.getValues();
for (var i in data) {
var row = data[i];
var emailAddress = row[0]; // First column
var message = 'I hearby send you the overview of your data'
var subject = 'Overview of data';
MailApp.sendEmail(emailAddress, subject, message,{
attachments:[blob]});
}
}
getValues() returns the values of all range's cells no matter if they are shown or hidden.
Use a loop and isRowHiddenByFilter(rowPosition) to reap out all the filtered values. You could use Array.prototype.push to add the values to a new array or use Array.prototype.splice to modify the array holdin the values returned by getValues()
Related
How to use in Google Sheets setValue only for range of filtered rows (getRange for not hidden cells)?
I managemed to solve the problem.
This script takes a google spreadsheet with 2 sheets,one with Data and one with a combination EmailAdresses.
It sends a filtered list (filter column F) of sheet Data to the corresponding salon (location) in sheet Emailadresses (var mode email). Additionally, it has the option to "store" the pdf's in your google drive (var mode store)
*/
function construct() {
// settings:
//var mode = "store";
var mode = "email";
// get list of all salons and email
var salonList = SpreadsheetApp.getActive().getSheetByName('EmailAdressen');
// set endvar for loop
var endRow = salonList.getLastRow();
// loop trough the rows to get the Salon name and the corresponding email
for(i=1;i<=endRow;i++){
var salonName = salonList.getRange(i,2).getValue();
var email = salonList.getRange(i,1).getValue();
// create an array with all salons that should be hidden (we cant pick which one to show, so we have to go the other way around...)
var filterArray = [];
// create array with all salons to hide
for(c=1;c<=endRow;c++){
// get value from email list, check if it is not the current selected one and if so add it to the list to filter out
salonFilterName = salonList.getRange(c,2).getValue();
if(salonFilterName != salonName) {
filterArray.push(salonFilterName);
}
} // end for c
// filter the list with the array we just created
var spreadsheet = filterList(filterArray);
if(mode == "email"){
// export to PDF
var pdf = exportToPdf(spreadsheet);
// email to email address belonging to this salon
emailToAddress(email, pdf);
} // end if
if(mode == "store"){
StorePdf(spreadsheet, salonName);
}
} // end for i
return;
}
function filterList(salonNameArray) {
// select data sheet
var spreadsheet = SpreadsheetApp.getActive().getSheetByName('Data');
// first remove all existing filters to make sure we are on a clean sheet
if(spreadsheet.getFilter()){
spreadsheet.getFilter().remove();
}
// create the filter
spreadsheet.getRange('F:F').createFilter();
// set criteria for filter with array passed from construct
var criteria = SpreadsheetApp.newFilterCriteria().setHiddenValues(salonNameArray).build();
// apply filter
spreadsheet.getFilter().setColumnFilterCriteria(6, criteria);
return spreadsheet;
}
function exportToPdf(ss) {
var ss = SpreadsheetApp.getActiveSpreadsheet();
var spreadsheet = SpreadsheetApp.getActive().getSheetByName('Data');
var blob = DriveApp.getFileById(ss.getId()).getAs("application/pdf");
blob.setName(ss.getName() + ".pdf");
return blob;
}
function StorePdf(ss, salonName) {
var ss = SpreadsheetApp.getActiveSpreadsheet();
var spreadsheet = SpreadsheetApp.getActive().getSheetByName('Data');
var blob = DriveApp.getFileById(ss.getId()).getBlob();
blob.setName(salonName + "_" + Utilities.formatDate(new Date(), "GMT+1", "ddMMyyyy")+".pdf");
DriveApp.createFile(blob);
return;
}
function emailToAddress(email, pdf) {
MailApp.sendEmail(email, 'Type here the subject', 'Type here the body',{
attachments:[pdf]});
return;
}
Is it possible to use if statements within .nest()? I'm trying to populate a column with several keys, but instead of looking for a name I want to assign a name/value to individual rows based on whether the value in the column is within a certain range of numbers. I have looked at the D3 Nest Tutorial and examples and I'm still having a hard time. This is the code I have at the moment, which isn't working. Any help would be greatly appreciated!
fireballData.forEach( d => {
years.forEach(year => {
const latitude = d['Latitude (deg.)'];
const impactEnergy = d['Calculated Total Impact Energy (kt)'];
const impactTest = +impactEnergy;
const impactLevel = nest('impactTest')
.key(function(d) { if (d.impactTest < .5) {return "impactA" }});
// .sortKeys(d3.ascending)
// .key(function(d) { return d.impactEnergy; })
// .sortKeys(function(a,b) {
// return impactEnergy.indexOf(a) - impactEnergy.indexOf(b); })
// .sortValues(function(a,b) { return ((a.who < b.who)
// ? -1
// : 1);;
const longitude = d['Longitude (deg.)'];
const impactYear = d['PeakBrightnessDate_TimeUT'];
const row = {
//year,
impactLevel,
impactEnergy,
latitude,
longitude,
impactYear
};
console.log(row);
});
});
Just to be a bit more clear, I want to assign five or six impact levels to the column impactLevel based on how big of a value impactEnergy is. This would then leave each row with the impactLevel id (ie impactLevel1) followed by the rest of data of that object. Any solustions or suggestions are great appreciated! I am still very new to d3 and I am still learning the in's and out's.
So for what I was trying to accomplish using .nest wasn't a good solution. The better way of going about creating the new array was to use .map.
export const loadAndProcessData = () =>
Promise
.all([
csv('data.csv')
])
.then(([fireballData]) => {
const minYear = 2015;
const maxYear = 2100;
const years = range(minYear, maxYear + 1);
const data = [];
// Special thanks to Darshit Shah for helping me figure this bit out
const showData = fireballData.map(d =>{
const impactYear = d['PeakBrightnessDate_TimeUT'];
const latitude = d['Latitude (deg.)'];
const longitude = d['Longitude (deg.)'];
const impactEnergy = +d['Calculated Total Impact Energy (kt)'];
const target = impactEnergy;
const type = 'Impact Year: ' + impactYear + ', Latitude: ' + latitude + ', Longitude: ' + longitude;
return {
sorce: (impactEnergy < 0.15 ? "0-0.15" : (impactEnergy < 0.25 ? "0.15-0.25" : (impactEnergy < 0.5 ? "0.25-0.5" : ">0.5"))),
target,
type
}
});
data.push(showData);
return data;
`
I'm creating a social media outreach tracker. I want to create a drop-down list of the contact name. The problem is that I have two sources of names on two different sheets.
I wrote a script that pulls the names from the two different sources and combines them to a single array.
I was hoping to set the source range as that array.
Here is my code:
function setDataValid_(range, sourceRange) {
var rule = SpreadsheetApp.newDataValidation()
.requireValueInRange(sourceRange, true)
.build();
range.setDataValidation(rule);
}
function onEdit() {
var auditionsSheet = SpreadsheetApp.getActiveSpreadsheet();
var castingDirectorsTab = auditionsSheet.getSheetByName("Casting Directors");
var contactsTab = auditionsSheet.getSheetByName("Contacts");
var socialMediaOutreachTab = auditionsSheet.getSheetByName("Social Media Outreach");
var lastRowCD = castingDirectorsTab.getLastRow();
var lastRowContacts = contactsTab.getLastRow();
var activeCell = socialMediaOutreachTab.getActiveCell();
var activeColumn = activeCell.getColumn();
// get data
var castingDirectorNameData = castingDirectorsTab.getRange(2, 1, lastRowCD, 1).getValues();
var contactNameData = contactsTab.getRange(2, 1, lastRowContacts, 1).getValues();
//get name data to a single arrays
var castingDirectorName = [];
castingDirectorNameData.forEach(function(yr) {
castingDirectorName.push(yr[0]);
});
var contactName = [];
contactNameData.forEach(function(yr) {
contactName.push(yr[0]);
});
// get rid of the empty bits in the arrays
for (var x = castingDirectorName.length-1; x > 0; x--) {
if ( castingDirectorName[x][0] === undefined ) {
castingDirectorName.splice( x, 1 )
}
}
for (var x = contactName.length-1; x > 0; x--) {
if ( contactName[x][0] === undefined ) {
contactName.splice( x, 1 )
}
}
//combine two data sources for data validation
var combinedNames = [];
combinedNames.push(castingDirectorName + contactName);
Logger.log (combinedNames);
Logger.log( typeof combinedNames);
// data validation set up and build
if (activeColumn == 1 && auditionsSheet.getName() == "Social Media Outreach") {
var range = auditionsSheet.getRange(activeCell.getRow(), activeColumn +1);
var sourceRange = combinedNames;
setDataValid_(range, sourceRange)
}
}
When I enter a date in Col A on Social Media Outreach, nothing happens in Col 2.
I was using an existing working nested data validation script I have but the sourceRange pulls from a sheet based on the value in the active cell. Here is that code:
function setDataValid_(range, sourceRange) {
var rule = SpreadsheetApp.newDataValidation()
.requireValueInRange(sourceRange, true)
.build();
range.setDataValidation(rule);
}
function onEdit() {
var aSheet = SpreadsheetApp.getActiveSheet();
var aCell = aSheet.getActiveCell();
var aColumn = aCell.getColumn();
// data validation for Auditions Tab Projet Type to Project Details
if (aColumn == 9 && aSheet.getName() == 'Auditions') {
var range = aSheet.getRange(aCell.getRow(), aColumn + 1);
var sourceRange = SpreadsheetApp.getActiveSpreadsheet().getRangeByName('RefTables!' + aCell.getValue())
setDataValid_(range, sourceRange)
}
}
For this script when I select from the data validation drop-down, a new data validation comes up in the next col with the appropriate secondary data validation.
So the question is, can the source range be set to an array or do I need to put the names back into my sheet to reference a la the second script.
I've looked through the documentation and searched and can't find an answer. I'm relatively new to GAS and am not sure of all the inner workings of the data validation builder.
I will try and keep this brief. I am attempting to make a google web app in google spreadsheet that will allow me to enter a values for min and max.
I have been able to create the GUI and add it to the panel. But I can't seem to pass the integer being entered into another function. I've tried everything, I'm relatively new to creating Google Script so I'm sorry if this comes across as a bit of a noobish problem.
Here is all the code so far :
function onOpen() {
var ss = SpreadsheetApp.getActive();
var menuEntries = [];
menuEntries.push({name: "Open Dialog", functionName: "showDialog"});
ss.addMenu("Min/Max", menuEntries);
}
//creating a panel to add the min and max of low to high for scoring
function showDialog() {
max = 10;
var app = UiApp.createApplication();
app.setTitle("My Applicaition");
var panel = app.createVerticalPanel();
var textBox = app.createTextBox();
var label = app.createLabel("Set the min value for 'Low'");
//had to create a hidden element with id="min" for a global value that can be updated
var min = app.createHidden().setValue('0').setName('min').setId('min');
textBox.setName('myTextBox').setId('myTextBox');
var button = app.createButton('Submit');
panel.add(label);
panel.add(textBox);
panel.add(min);
panel.add(button);
//click handler for setting the value of min to the new value
var clickHandler = app.createServerClickHandler("responedToSubmit");
button.addClickHandler(clickHandler);
clickHandler.addCallbackElement(panel);
app.add(panel);
var doc = SpreadsheetApp.getActive();
doc.show(app);
}
function responedToSubmit(e) {
var app = UiApp.getActiveApplication();
var textBoxValue = e.parameter.myTextBox;
Logger.log(e.parameter.min);
if (typeof textBoxValue != "number") {
var num = parseInt(textBoxValue);
app.getElementById('min').setValue(num);
Logger.log("textBoxValue is = "+textBoxValue+"\n min value is = "+e.parameter.min);
} else {
throw "value needs to be set as number";
}
return app.close();
}
This is where I believe things aren't going according to plan :
function responedToSubmit(e) {
var app = UiApp.getActiveApplication();
var textBoxValue = e.parameter.myTextBox;
Logger.log(e.parameter.min);
if (typeof textBoxValue != "number") {
var num = parseInt(textBoxValue);
app.getElementById('min').setValue(num);
Logger.log("textBoxValue is = "+textBoxValue+"\n min value is = "+e.parameter.min);
} else {
throw "value needs to be set as number";
}
return app.close();
}
I find that each time I test the .setValue() will not update the value of 'min' and I cannot see why. Can you please help?
You need to add textBox element to callBack elements list of your clickHandler.
Try this:
//click handler for setting the value of min to the new value
var clickHandler = app.createServerClickHandler("responedToSubmit");
clickHandler.addCallbackElement(panel);
clickHandler.addCallbackElement(textBox);
button.addClickHandler(clickHandler);
app.add(panel);