Simple feature collection with 177 features and 64 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.64513
CRS: NA
First 10 features:
SP_ID scalerank featurecla labelrank sovereignt sov_a3
1 0 1 Admin-0 country 3 Afghanistan AFG
2 1 1 Admin-0 country 3 Angola AGO
3 2 1 Admin-0 country 6 Albania ALB
4 3 1 Admin-0 country 4 United Arab Emirates ARE
5 4 1 Admin-0 country 2 Argentina ARG
6 5 1 Admin-0 country 6 Armenia ARM
7 6 1 Admin-0 country 4 Antarctica ATA
8 7 3 Admin-0 country 6 France FR1
9 8 1 Admin-0 country 2 Australia AU1
10 9 1 Admin-0 country 4 Austria AUT
adm0_dif level type admin adm0_a3
1 0 2 Sovereign country Afghanistan AFG
2 0 2 Sovereign country Angola AGO
3 0 2 Sovereign country Albania ALB
4 0 2 Sovereign country United Arab Emirates ARE
5 0 2 Sovereign country Argentina ARG
6 0 2 Sovereign country Armenia ARM
7 0 2 Indeterminate Antarctica ATA
8 1 2 Dependency French Southern and Antarctic Lands ATF
9 1 2 Country Australia AUS
10 0 2 Sovereign country Austria AUT
geou_dif geounit gu_a3 su_dif
1 0 Afghanistan AFG 0
2 0 Angola AGO 0
3 0 Albania ALB 0
4 0 United Arab Emirates ARE 0
5 0 Argentina ARG 0
6 0 Armenia ARM 0
7 0 Antarctica ATA 0
8 0 French Southern and Antarctic Lands ATF 0
9 0 Australia AUS 0
10 0 Austria AUT 0
subunit su_a3 brk_diff name
1 Afghanistan AFG 0 Afghanistan
2 Angola AGO 0 Angola
3 Albania ALB 0 Albania
4 United Arab Emirates ARE 0 United Arab Emirates
5 Argentina ARG 0 Argentina
6 Armenia ARM 0 Armenia
7 Antarctica ATA 0 Antarctica
8 French Southern and Antarctic Lands ATF 0 Fr. S. Antarctic Lands
9 Australia AUS 0 Australia
10 Austria AUT 0 Austria
name_long brk_a3 brk_name
1 Afghanistan AFG Afghanistan
2 Angola AGO Angola
3 Albania ALB Albania
4 United Arab Emirates ARE United Arab Emirates
5 Argentina ARG Argentina
6 Armenia ARM Armenia
7 Antarctica ATA Antarctica
8 French Southern and Antarctic Lands ATF Fr. S. and Antarctic Lands
9 Australia AUS Australia
10 Austria AUT Austria
brk_group abbrev postal
1 <NA> Afg. AF
2 <NA> Ang. AO
3 <NA> Alb. AL
4 <NA> U.A.E. AE
5 <NA> Arg. AR
6 <NA> Arm. ARM
7 <NA> Ant. AQ
8 <NA> Fr. S.A.L. TF
9 <NA> Auz. AU
10 <NA> Aust. A
formal_en formal_fr note_adm0
1 Islamic State of Afghanistan <NA> <NA>
2 People's Republic of Angola <NA> <NA>
3 Republic of Albania <NA> <NA>
4 United Arab Emirates <NA> <NA>
5 Argentine Republic <NA> <NA>
6 Republic of Armenia <NA> <NA>
7 <NA> <NA> <NA>
8 Territory of the French Southern and Antarctic Lands <NA> Fr.
9 Commonwealth of Australia <NA> <NA>
10 Republic of Austria <NA> <NA>
note_brk name_sort
1 <NA> Afghanistan
2 <NA> Angola
3 <NA> Albania
4 <NA> United Arab Emirates
5 <NA> Argentina
6 <NA> Armenia
7 Multiple claims held in abeyance Antarctica
8 <NA> French Southern and Antarctic Lands
9 <NA> Australia
10 <NA> Austria
name_alt mapcolor7 mapcolor8 mapcolor9 mapcolor13 pop_est gdp_md_est
1 <NA> 5 6 8 7 28400000 22270.0
2 <NA> 3 2 6 1 12799293 110300.0
3 <NA> 1 4 1 6 3639453 21810.0
4 <NA> 2 1 3 3 4798491 184300.0
5 <NA> 3 1 3 13 40913584 573900.0
6 <NA> 3 1 2 10 2967004 18770.0
7 <NA> 4 5 1 -99 3802 760.4
8 <NA> 7 5 9 11 140 16.0
9 <NA> 1 2 2 7 21262641 800200.0
10 <NA> 3 1 3 4 8210281 329500.0
pop_year lastcensus gdp_year economy
1 -99 1979 -99 7. Least developed region
2 -99 1970 -99 7. Least developed region
3 -99 2001 -99 6. Developing region
4 -99 2010 -99 6. Developing region
5 -99 2010 -99 5. Emerging region: G20
6 -99 2001 -99 6. Developing region
7 -99 -99 -99 6. Developing region
8 -99 -99 -99 6. Developing region
9 -99 2006 -99 2. Developed region: nonG7
10 -99 2011 -99 2. Developed region: nonG7
income_grp wikipedia fips_10 iso_a2 iso_a3 iso_n3 un_a3 wb_a2
1 5. Low income -99 <NA> AF AFG 004 004 AF
2 3. Upper middle income -99 <NA> AO AGO 024 024 AO
3 4. Lower middle income -99 <NA> AL ALB 008 008 AL
4 2. High income: nonOECD -99 <NA> AE ARE 784 784 AE
5 3. Upper middle income -99 <NA> AR ARG 032 032 AR
6 4. Lower middle income -99 <NA> AM ARM 051 051 AM
7 2. High income: nonOECD -99 <NA> AQ ATA 010 -099 -99
8 2. High income: nonOECD -99 <NA> TF ATF 260 -099 -99
9 1. High income: OECD -99 <NA> AU AUS 036 036 AU
10 1. High income: OECD -99 <NA> AT AUT 040 040 AT
wb_a3 woe_id adm0_a3_is adm0_a3_us adm0_a3_un adm0_a3_wb
1 AFG -99 AFG AFG -99 -99
2 AGO -99 AGO AGO -99 -99
3 ALB -99 ALB ALB -99 -99
4 ARE -99 ARE ARE -99 -99
5 ARG -99 ARG ARG -99 -99
6 ARM -99 ARM ARM -99 -99
7 -99 -99 ATA ATA -99 -99
8 -99 -99 ATF ATF -99 -99
9 AUS -99 AUS AUS -99 -99
10 AUT -99 AUT AUT -99 -99
continent region_un subregion
1 Asia Asia Southern Asia
2 Africa Africa Middle Africa
3 Europe Europe Southern Europe
4 Asia Asia Western Asia
5 South America Americas South America
6 Asia Asia Western Asia
7 Antarctica Antarctica Antarctica
8 Seven seas (open ocean) Seven seas (open ocean) Seven seas (open ocean)
9 Oceania Oceania Australia and New Zealand
10 Europe Europe Western Europe
region_wb name_len long_len abbrev_len tiny homepart
1 South Asia 11 11 4 -99 1
2 Sub-Saharan Africa 6 6 4 -99 1
3 Europe & Central Asia 7 7 4 -99 1
4 Middle East & North Africa 20 20 6 -99 1
5 Latin America & Caribbean 9 9 4 -99 1
6 Europe & Central Asia 7 7 4 -99 1
7 Antarctica 10 10 4 -99 1
8 Sub-Saharan Africa 22 35 10 2 -99
9 East Asia & Pacific 9 9 4 -99 1
10 Europe & Central Asia 7 7 5 -99 1
geometry
1 MULTIPOLYGON (((61.21082 35...
2 MULTIPOLYGON (((16.32653 -5...
3 MULTIPOLYGON (((20.59025 41...
4 MULTIPOLYGON (((51.57952 24...
5 MULTIPOLYGON (((-65.5 -55.2...
6 MULTIPOLYGON (((43.58275 41...
7 MULTIPOLYGON (((-59.57209 -...
8 MULTIPOLYGON (((68.935 -48....
9 MULTIPOLYGON (((145.398 -40...
10 MULTIPOLYGON (((16.97967 48...
Bonus: Compare all NDVI values for these two places using a t-test
t.test(ndvi_bethel[,2], ndvi_oakley[,2])
Welch Two Sample t-test
data: ndvi_bethel[, 2] and ndvi_oakley[, 2]
t = 45.979, df = 26353, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.07298078 0.07948010
sample estimates:
mean of x mean of y
0.4124472 0.3362167
A statistically significant difference exists in the mean NDVI values between Bethel Island and Oakley (p < 0.001). Bethel Island’s NDVI value is slightly higher, suggesting that its vegetation is more abundant or healthier.
