// Import country boundaries feature collection.
var dataset = ee.FeatureCollection('USDOS/LSIB_SIMPLE/2017');

// Apply filter where country name equals Pakistan.
var PakistanBorder = dataset.filter(ee.Filter.eq('country_na', 'Pakistan'));

// Print new "PakistanBorder" object and explorer features and properties.
// There should only be one feature representing Pakistan.
print(PakistanBorder);

// Add pakistan outline to the Map as a layer.
Map.centerObject(PakistanBorder, 6);
Map.addLayer(PakistanBorder);
// Import LST image collection.
var modis = ee.ImageCollection('MODIS/MOD11A2');

// Define a date range of interest; here, a start date is defined and the end
// date is determined by advancing 1 year from the start date.
var start = ee.Date('20150101');
var dateRange = ee.DateRange(start, start.advance(1, 'year'));

// Filter the LST collection to include only images intersecting the desired
// date range.
var mod11a2 = modis.filterDate(dateRange);

// Select only the 1km day LST data band.
var modLSTday = mod11a2.select('LST_Day_1km');

// Scale to Kelvin and convert to Celsius, set image acquisition time.
var modLSTc = modLSTday.map(function(img) {
return img
.multiply(0.02)
.subtract(273.15)
.copyProperties(img, ['system:time_start']);
});

// Chart time series of LST for pakistan in 2015.
var ts1 = ui.Chart.image.series({
imageCollection: modLSTc,
region: PakistanBorder,
reducer: ee.Reducer.mean(),
scale: 1000,
xProperty: 'system:time_start'})
.setOptions({
title: 'LST 2015 Time Series',
vAxis: {title: 'LST Celsius'}});
print(ts1);

// Calculate 8day mean temperature for Pakistan in 2015.
var clippedLSTc = modLSTc.mean().clip(PakistanBorder);

// Add clipped image layer to the map.
Map.addLayer(clippedLSTc, {
min: 10, max: 45,
palette: ['blue', 'limegreen', 'yellow', 'darkorange', 'red']},
'Mean temperature, 2015');