Question

1 Approved Answer

Posted on Sep 26, 2024

vector calculations Python 3. More vector calculations (10 points) Let's make it more interesting. Using the same cities dataset write a new function that calculates

vector calculations image text in transcribed

Python 3. More vector calculations (10 points) Let's make it more interesting. Using the same cities dataset write a new function that calculates the following Average population of all cities Mean center of all the city locations (now we get to use the spatial information The mean center is the central point for a set of features (points in our case). For more information check out the following webpage http://desktoparegis.com/ervalomap/10.21cchia: statistics toolbox/mean-center.htm Important note: To get everages you must use the information you already calculated from the previous question post and count. Then it becomes an easyfish tak Tere is a list of the first 6 US cities in the following dataset: https://ow.githubusercontent.com/jobberthouder/uw-data/master/Slapefile/us-effen/ofson/wertes.googaon cities "type""FeatureCollection", "features: (type": "Feature", "properties": "REA: "Em Beach", "CLASS": "0", "st": ", "STFIPS": "15", "PLACEFIP": "07458", "CAPITAL":"", ALDI 1.417901. * "type": "Feature", "properties: (AREANWE"Hlava, "CLASS": "P","ST": 0, "STFIPS": "1", "PLACEFIP": "10000","CAPITAL"1 "N. AREALM: 2,350, AREA "type": "Feature", "properties":"ARENAME": "lo", "CLASS":"CO, "ST": "", "SIFIPS": "15", "PLACEFIM, "1465e", "CAPITAL: Y. MEALNO: 54.260000,"TEK "type": "Feature", "properties":{"AREAME": "Honolulu", "CLASS": "CD". "ST": "HI", "STFIPS": "1", "PLACEFIP": "1100", "CAPITAL": VARELEI IS. 100 {"type": "Feature", "properties":"ARENAME" : "Katului", "CLASS": "COP","ST": ", "STFIPS": "15", "PLACEFIP: +22708", "CAPITAL, REALNO I US:162000, i-type": "Feature", "properties":{"ARENAME": "allua", "CLASS": "CD", "st": , "STFIPS": "IS", PACEFIE: 23159, "AITALY, EMA: 6,64000, MEA 1) defecte average information Crosson): pass move this the and insert your code here for the function YOUR COOE MERE Call your ces informitor function cities_average_information cities) Mode Command in 2 Cols Lab 3. More vector calculations (10 points) Let's make it more interesting. Using the same cities dataset write a new function that calculates the following Average population of all cities Mean center of all the city locations (now we get to use the spatial information The mean center is the central point for a set of features (points in our case). For more information check out the following webpage http://desktop.arcgis.com/en/arcmap/10.3/tools, spatial statistics toolbou mean cerita.htm important note. To get everages you must use the information you already cakuleted from the previous question totals and counts). Then it becomes an easylish) task We cant of the first suscries in the followiny dotose: Newsercontent.com/fatbereden/deuter/shapefttewu cites/pros/unettes geefson cities ( "type" i "Festure Collection. features": "type": "Festure", "properties" ("AREAME":"Iva Beach". "CLASS""COP", "ST": "HI", "STFIPS": "1", "PLACEFIP: "07458". "CAPITAL": "", "AREALMD: 1.417000, "A ("type" "Feature", "properties":( AREAWEI Hlava", "CLASS": "", "ST", "HI", "STFIPS"15", "PLACEFIP "10000", "CAPITAL" "N". "AREALAND": 2.2, AREA "type": "Future", "properties" (AREA: "H110". "CLASS": "COP", "ST" "HI", "STFIPS": "1", "PLACEFIP": "14650", "CAPITAL" : "N", AREALAND: 14,209000, AREA ("type""Feature, properties":( AREAME""Honolulu", "CLASS": "COP","ST: "HE", "STFIPS": "15", "PLACEFIP": "17000", "CAPITAL: "Y", "AREALAID"5, 702000, typet "nature", "properties" : { "REWE: "Katulul", "CLASS" : "COP","ST": "", "S181PS""15", "PLACEFIP": "22700", "CAPITAL" , "AREALAND": 15.1630010, *** "type": "Feature", "properties": { "ARE" "Kallua". "CLASS": "COP","ST" "HI", "STFIPS": "15", "PLACEFIP" : "23150", "CAPITAL": "N". AREALAND" 6.644000, AREA 1 det (groson) passes the and you can code here for the function cities_wverage_Information cities) Python 3. More vector calculations (10 points) Let's make it more interesting. Using the same cities dataset write a new function that calculates the following Average population of all cities Mean center of all the city locations (now we get to use the spatial information The mean center is the central point for a set of features (points in our case). For more information check out the following webpage http://desktoparegis.com/ervalomap/10.21cchia: statistics toolbox/mean-center.htm Important note: To get everages you must use the information you already calculated from the previous question post and count. Then it becomes an easyfish tak Tere is a list of the first 6 US cities in the following dataset: https://ow.githubusercontent.com/jobberthouder/uw-data/master/Slapefile/us-effen/ofson/wertes.googaon cities "type""FeatureCollection", "features: (type": "Feature", "properties": "REA: "Em Beach", "CLASS": "0", "st": ", "STFIPS": "15", "PLACEFIP": "07458", "CAPITAL":"", ALDI 1.417901. * "type": "Feature", "properties: (AREANWE"Hlava, "CLASS": "P","ST": 0, "STFIPS": "1", "PLACEFIP": "10000","CAPITAL"1 "N. AREALM: 2,350, AREA "type": "Feature", "properties":"ARENAME": "lo", "CLASS":"CO, "ST": "", "SIFIPS": "15", "PLACEFIM, "1465e", "CAPITAL: Y. MEALNO: 54.260000,"TEK "type": "Feature", "properties":{"AREAME": "Honolulu", "CLASS": "CD". "ST": "HI", "STFIPS": "1", "PLACEFIP": "1100", "CAPITAL": VARELEI IS. 100 {"type": "Feature", "properties":"ARENAME" : "Katului", "CLASS": "COP","ST": ", "STFIPS": "15", "PLACEFIP: +22708", "CAPITAL, REALNO I US:162000, i-type": "Feature", "properties":{"ARENAME": "allua", "CLASS": "CD", "st": , "STFIPS": "IS", PACEFIE: 23159, "AITALY, EMA: 6,64000, MEA 1) defecte average information Crosson): pass move this the and insert your code here for the function YOUR COOE MERE Call your ces informitor function cities_average_information cities) Mode Command in 2 Cols Lab 3. More vector calculations (10 points) Let's make it more interesting. Using the same cities dataset write a new function that calculates the following Average population of all cities Mean center of all the city locations (now we get to use the spatial information The mean center is the central point for a set of features (points in our case). For more information check out the following webpage http://desktop.arcgis.com/en/arcmap/10.3/tools, spatial statistics toolbou mean cerita.htm important note. To get everages you must use the information you already cakuleted from the previous question totals and counts). Then it becomes an easylish) task We cant of the first suscries in the followiny dotose: Newsercontent.com/fatbereden/deuter/shapefttewu cites/pros/unettes geefson cities ( "type" i "Festure Collection. features": "type": "Festure", "properties" ("AREAME":"Iva Beach". "CLASS""COP", "ST": "HI", "STFIPS": "1", "PLACEFIP: "07458". "CAPITAL": "", "AREALMD: 1.417000, "A ("type" "Feature", "properties":( AREAWEI Hlava", "CLASS": "", "ST", "HI", "STFIPS"15", "PLACEFIP "10000", "CAPITAL" "N". "AREALAND": 2.2, AREA "type": "Future", "properties" (AREA: "H110". "CLASS": "COP", "ST" "HI", "STFIPS": "1", "PLACEFIP": "14650", "CAPITAL" : "N", AREALAND: 14,209000, AREA ("type""Feature, properties":( AREAME""Honolulu", "CLASS": "COP","ST: "HE", "STFIPS": "15", "PLACEFIP": "17000", "CAPITAL: "Y", "AREALAID"5, 702000, typet "nature", "properties" : { "REWE: "Katulul", "CLASS" : "COP","ST": "", "S181PS""15", "PLACEFIP": "22700", "CAPITAL" , "AREALAND": 15.1630010, *** "type": "Feature", "properties": { "ARE" "Kallua". "CLASS": "COP","ST" "HI", "STFIPS": "15", "PLACEFIP" : "23150", "CAPITAL": "N". AREALAND" 6.644000, AREA 1 det (groson) passes the and you can code here for the function cities_wverage_Information cities)