Nzvimbo yemaguta: data, kufamba-famba uye maguta akangwara

  • Kuwanikwa kwenzvimbo dzemaguta kunobvumira kugadziriswa kwekufamba, zviwanikwa, uye kuchengetedzeka mumaguta akangwara kuburikidza nedata renguva chaiyo.
  • Inosiyana ne georeferencing, iyo inoisa zvinhu mu coordinate systems uye inokosha mu cartography ne GIS.
  • Ruzivo rwakawanda rwenzvimbo uye ruzivo rwemuchina zvinotibvumira kufanotaura maitiro ekufamba uye nzira dzekufambisa.
  • Mapurojekiti epamutemo uye mapurogiramu akawanda ezuva nezuva anoshandisa nzvimbo munzvimbo dzenjodzi, zvekufambisa, zvekushanya, zvekuzorora nemitambo.

nzvimbo yemaguta

La Nzvimbo yemaguta yave chinhu chakakosha munzira yatinogadzira, kutarisira, uye kuona maguta. Kubva pakurongeka kwemotokari kusvika pakuwana kwatinoita resitorendi iri pedyo kana kusangana neshamwari, zvinenge zvese zvinosiya chiratidzo muchimiro chedata renzvimbo. Mumafoni maguta akachenjeraRuzivo urwu harungochengetedzwi chete, asi rwunoongororwa zvakanyanya kuti ruite sarudzo dziri nani uye rupe masevhisi anokurumidza, anoshanda uye akagadzirirwa munhu wega.

Panguva imwe chete, nzvimbo yakabva pamahofisi ehunyanzvi kuenda kuhupenyu hwezuva nezuva. Mapurogiramu ekufambidzana, kufamba-famba, kufamba-famba, kutamba mitambo, kana kutotamba mitambo Vanoshandisa nzvimbo yedu chaiyo kuti vatipe ruzivo rwakagadzirirwa isu. Seri kweizvi zviri nyore kune musanganiswa wematekinoroji (GPS, nharembozha, Wi-Fi, masensa, big data, GIS, machine learning…) uye mapurojekiti emasangano neakazvimirira ari kutsanangura patsva kufamba kwemaguta, kuchengetedzeka, kuronga mashandisirwo evhu, uye kushambadzira kwedhijitari.

Chii chinonzi geolocation yemaguta uye nei ichikosha kudaro?

Patinotaura nezvenzvimbo dzemaguta, tiri kureva nzvimbo dzemaguta. kugona kuziva zvakarurama nzvimbo yevanhu, zvinhu, kana zvishandiso mukati meguta uye kubatanidza nzvimbo iyoyo neruzivo rwakakosha nezvenzvimbo yakapoteredza (migwagwa, masevhisi, mabhizinesi, kutakura, nezvimwewo). Hazvisi zvekungoziva macoordinates ari pamepu chete, asi nezvekuashandura kuita chimwe chinhu chinobatsira senge kero chaiyo, nzvimbo inonakidza, kana nzira yakakodzera.

Padanho rehunyanzvi, nzvimbo yenzvimbo inoenderana ne masisitimu ekuisa nzvimbo uye network dzekutauriranaAsi inonyanya kutarisisa pakuita kuti data iroro rinzwisiswe uye rishande. Nharembozha haingozivi chete kuti uri paX neY coordinates, asi inokwanisawo kuziva kuti uri mumugwagwa wakati, pedyo nechiteshi chebhazi, kana pedyo nebhizinesi rakati, uye inokupa ruzivo, masevhisi, kana mazano panguva chaiyo.

Mumamiriro ezvinhu emumaguta, izvi zvinovhura mukana wekushandisa zvakawanda: manejimendi ekufambisa nepfungwa, kugadzirisa mafambiro everuzhinji, kuvandudza mabasa ekukurumidzira, kuchengetedzeka, kuronga maguta, simba, kushanya nekutengeseranaMuchokwadi, geolocation ndeimwe yenheyo dzetekinoroji dzemaguta akangwara uye chigadziko chekufambira mberi kunzvimbo dzinoshanda zvakanaka, dzakachengeteka uye dzinogara kwenguva refu.

Nzvimbo, nzvimbo yekutarisa mafambiro enzvimbo uye GIS: pfungwa dzinofanira kusiyaniswa

Chimwe chezvikanganiso zvinowanzo itika kushandisa geolocation uye georeferencing sekunge ndizvo zvimwe chete. Kunyangwe zvazvo zvakabatana zvakanyanya, zvinotsanangura maitiro akasiyana. uye anoshandiswa mumamiriro ezvinhu akasiyana zvishoma, kunyanya kana macartography uye masisitimu eruzivo rwenzvimbo (GIS) achishandiswa.

Georeferencing ndiyo kupa chinzvimbo mune imwe nzira yekuronga kune chero sangano (chivako, mugwagwa, mufananidzo wesatellite, muganhu wekutonga…). Uku kushanda kwakakosha muGIS, kune data re raster (mifananidzo yepixel) uye kune data revector (mapoinzi, mitsara, mapolygons). Nekuda kwe georeferencing, zvinokwanisika kufukidza layers kubva kunzvimbo dzakasiyana uye masensa, kuarongedza nemazvo, uye kuenzanisa zvakasimba.

Kuvhiya uku kunowanzo sanganisira Basa rehunyanzvi rinosanganisira kushandura kwakarongeka, kusarudza dhatamu, uye kufungidziraIzvi zvinobvumira, semuenzaniso, kubatanidza orthophoto ne street layer kana nema central district polygon. Kana ma datasets maviri achishandisa ma reference system akasiyana, shanduko yakakodzera inoshandiswa kuti akwane mukati me space and temporal framework imwechete.

Nzvimbo yenzvimbo, kune rumwe rutivi, inotarisa zvakanyanya pane kuzivikanwa kwenzvimbo yemudziyo wakabatana kana chinhuzvakaita sefoni mbozha, komputa, mota, kana sensor, uye zvinowanzo batanidzwa neruzivo rwemamiriro ezvinhu: migwagwa iri pedyo, nzvimbo dzekutengesa, maawa ekuvhura, masevhisi aripo, nezvimwewo. Hazvingorambi zviripo chete, asi zvinoshandura kuita chimwe chinhu chine musoro kumushandisi kana kune application.

Muchokwadi, sevhisi yakaita seGoogle Maps inosanganisa nyika dzese mbiri: inoshandisa data re georeferenced kugadzira mamepu (migwagwa, zvivakwa, mifananidzo, miganhu yekutonga) uye, panguva imwe chete, inoisa mudziyo wako panzvimbo yegeografi kuratidza kwauri, kuti ungasvika sei pane imwe nzvimbo, zviri kukupoteredza, uye kuti inzira ipi yakanakisisa inobva pamamiriro emota.

Nzvimbo mumaguta akangwara: manejimendi, kufamba-famba uye kuchengetedzeka

Kuwana nzvimbo (geolocation) chishandiso chikuru mukuvandudza maguta akangwara nekuti Zvinobvumira kugadziriswa kwekugoverwa kwezviwanikwa mumaguta uye zvinovandudza hupenyu hwevanhu.Kuburikidza nemasisitimu epamusoro uye akabatanidzwa zvakanaka, vatungamiriri vanogona kutarisa zviri kuitika muguta munguva chaiyo uye kuita zvinhu nemazvo uye nekukurumidza.

Munyaya yekufamba, kusanganiswa kweGPS nemaitiro eruzivo rwenzvimbo kunobatsira kuunganidzwa, manejimendi uye kuongororwa kwehuwandu hwakawanda hwetraffic uye data rekutakuraRuzivo urwu runobatsira kugadzirisa mafrequency emabhazi, kugadzira patsva migwagwa yetramu kana metro, kusarudza kwekutsvaga nzira dzemabhasikoro uye, kazhinji, kuderedza nguva yekufamba uye kuvandudza kusvikika kwevanhu. yakaderera emission zones.

Panyaya dzekuchengetedzwa uye njodzi, nzvimbo yakakosha kune tsvaga zviitiko nemazvoSisitimu yekukurumidzira inogona kugamuchira nzvimbo chaiyo yekufona nharembozha, kutumira zvinhu zviri pedyo zviripo, uye kuteedzera nzira yeamburenzi, marori emoto, kana mapurisa ari kufamba-famba panguva chaiyo. Uyezve, kubatanidza data rekutarisa kwevhidhiyo nenzvimbo kunobvumira kutarisira mamiriro ane njodzi, kupinza vashandi mabasa patsva, uye kuvandudza kuedza kudzivirira mhosva.

Imwe nzvimbo inokosha isimba remaguta: nzvimbo ine basa guru mu mapurojekiti ekushandisa simba zvakanaka uye grid yakangwaraSemuenzaniso, mukugadzirisa nzira dzekutora marara, kuchengetedza mwenje yemumugwagwa, kana kugadzirisa mashandisirwo esimba muzvivakwa. Nekuziva kwakanyatsoita kushandiswa kwesimba kana kuti chiitiko chinoitika, mashandiro anogona kugadziriswa zviri nani, mari shoma, uye kukanganisa nharaunda kuderedzwa.

Kana zvabatanidzwa, mhinduro dzenzvimbo dzakabatanidzwa muzvivakwa zvemaguta dzinobatsira kuvaka maguta anogara kwenguva refu, akachena uye akachengetekaKupfuura zviziviso zvikuru, izvi zvinoita kuti pave nekuwanda kwemotokari mumigwagwa mishoma. ruzha rushoma rwemotokariMhepo iri nani, mhinduro inokurumidza kune njodzi, uye mabasa everuzhinji anoenderana nezvinodiwa nevagari.

Kufanotaura kwemafambiro ekufamba mumaguta uye mutemo weZipf

Kugona kwenzvimbo dzemaguta hakugumiri pakuona zviri kuitika pari zvino. Maitiro ekufamba anogona kuongororwa kuti afungisise maitiro emangwana uye kubatsira kuronga guta munguva yepakati nerefu. Apa ndipo panoshanda nzira dzekuongorora data guru uye dzekudzidza kwemichina.

Muenzaniso wakakodzera ibasa rechikwata chesainzi cheMOCA, icho chakaratidza kuti Zvinokwanisika kufanotaura maitiro ekufamba kwemaguta uchishandisa data renzvimbo kubva kumafoniZvichibva panzvimbo dzakaunganidzwa pasina kuzivikanwa uye nemvumo yemushandisi, nzira dzinogona kugadziriswazve, nzira dzinogara dzichionekwa, nzvimbo dzine vanhu vakawanda dzinoonekwa, uye maitiro anosiyaniswa zvichienderana nerudzi rwemushandisi (mushanyi, mugari, nezvimwewo).

Munguva yekudzidza kukuru kwakaitwa muSpain, zvinotevera zvakagadziriswa ruzivo rwechokwadi kubva kuvanhu vanopfuura miriyoni imwe mugore roseKugadzira nzvimbo dzinosvika matiririyoni 3,5. Kururama kwenzvimbo kwakabvumira kuonekwa kwemafambiro kunyangwe pakati pemigwagwa iri pedyo, nokudaro zvichipa maonero akadzama enzvimbo dzemumaguta nedzekumaruwa muSpain nedzimwe nyika dzemuEurope uko data racho raiwanikwa.

Kuongororwa kwenzira idzi kwakaratidza kuti maitiro ekufamba aitevera zvinonzi Mutemo weZipf, kugoverwa kwenhamba kunoonekwa muzviitiko zvakaoma zvakaita semutauro, kupararira kwehukuru hwemaguta, kana kuti traffic yeinternet. Zvinofadza kuti mutemo uyu waive wechokwadi pamatanho akasiyana-siyana: nharaunda, matunhu, maguta, mapurovhinzi, uye nharaunda dzinozvitonga, zvichisimbisa pfungwa yekuti mafambiro evanhu anoratidza kugara kwakajairika.

Semuenzaniso, kutora senzvimbo yekutanga iyo Barcelona provinceZvakaonekwa kuti imwe yenzira dzainyanya kutaurwa nezvadzo yaive Barcelona – Girona – Barcelona, ​​​​zvikuru nemotokariRudzi urwu rweruzivo runobvumira kugadzirwa zviri nani kwezvivakwa zvekufambisa, kusimbiswa kwemabasa panzira huru, kana kugadzirwa kwematanho ekuderedza kuzara kwemigwagwa.

Imwe kufambira mberi kwakakosha mubasa iri kugona kuona nekufanotaura nzira yekufambisa inoshandiswaZvichienderana nekumhanya, kumhanyisa, maitiro ekumira, uye nzira dzekufamba nadzo, maalgorithms anogona kusiyanisa kana mushandisi ari kufamba nechitima, bhazi, bhasikoro, kana mota. Kupatsanura uku kunovhura mukana wekuongorora kwakadzama kwekufamba kwemaguta, kusiyanisa mashandisirwo, zvinodiwa, uye tsika dzeboka rega rega.

Tsvagiridzo yeMOCA, inotsigirwa nechirongwa cheBD2K uye inotsigirwa nemari neCDTI neEuropean Union, inosanganisa masvomhu, sainzi yemakombiyuta, dzidziso yenyonganyonga, topology, uye fizikisi yekwantum kuti vawane ruzivo kubva muhuwandu uhu hwedata. Mhedzisiro yacho yakabatanidzwa mumaalgorithms ekudzidza kwemuchina anopa mamasipala nehurumende maturusi ane simba ekufungidzira zvinodiwa, kuvandudza kuchengetedzeka, kukurudzira kukura kwemaguta kwenguva refu, uye kugadzirisa mabasa everuzhinji kuti aenderane nemamiriro ezvinhu aripo.

Mabasa epamutemo enzvimbo uye mapurojekiti emasangano muSpain

Kunze kwemapuratifomu akazvimirira, kune mapurojekiti everuzhinji anopa masevhisi enzvimbo zvichienderana nedata repamutemozvakakosha kune hurumende, mabhizinesi, uye vagari. MuSpain, mumwe wemienzaniso mikuru inzvimbo yemapurojekiti anosimudzirwa neNational Geographic Information Center (CNIG) nemamwe masangano ehurumende.

Chimwe chezviitiko izvi ibasa renzvimbo ine chinangwa che kubvumira nzvimbo yenzvimbo kubva pakero yepositi, nzvimbo inonakidza kana zita rezitaRudzi urwu rwekushandisa geocoding uye reverse lookup service rwakakosha pakugadzira mamepu, manejimendi enjodzi, logistics, urban analysis, nezvimwe zvakawanda, sezvo ichishandura zvinyorwa (migwagwa, manhamba, mazita enzvimbo) kuita nzvimbo dzakakodzera pasi.

Basa iri rinoenderana nedata kubva ku Mitumbi yeSpain yemapopu uye ye cadastral, nekubatanidzwa kwakarongeka kwemasangano akawanda: CNIG, Hurumende yeLa Rioja, Directorate General yeCadastre, State Company Correos y Telegrafos, INE, IGN uye mamwe masangano emakatuni enharaunda dzinozvitonga dzakadai seNavarra, Madrid, Andalusia, Murcia, La Rioja, Basque Country, Galicia, Extremadura, Canary Islands, Balearic Islands, Asturias, Aragon kana Catalonia, pamwe chete nemakanzuru ematunhu (akadai seBarcelona) nemakanzuru emaguta (semuenzaniso, Cáceres neMadrid), pamwe chete nezvirongwa zvepachivande zvine chekuita nekushanya kwenzvimbo.

Kushandira pamwe uku pakati pemasangano kunovimbisa kuti sevhisi inoshandisa ruzivo rwepamutemo, rwakafanana uye rwechizvino-zvino nezvekero dzepositi, makodhi epositi, masangano ekutonga, nezvimwe zvinhu zvakakosha. Kuburikidza newebhu viewer uye REST API yakanyorwa pachena, vagadziri vanogona kubatanidza zviri nyore kugona uku kwenzvimbo mumapurogiramu avo nemasevhisi.

Panguva imwe cheteyo, chirongwa cheCartoCiudad, chiri pasi peCNIG, chinounganidza uye chinoita kuti zviwanikwe dhatabhesi inofukidza nharaunda yese yeSpain nemigwagwa, manhamba emigwagwa, makodhi epositi, nzvimbo dzinofadza, uye mayuniti ekutonga. Dhatabhesi iyi inowanikwa kuburikidza nemasevhisi ewebhu enzvimbo dzinokubvumidza kuwana chero kero kana nzvimbo yenzvimbo zvine kuvimbika kwakanyanya.

Ruzivo urwu rwakakosha pakushandiswa kwakasiyana-siyana: manejimendi enjodzi, kuronga nzira, kuongorora kufamba, kutakura, kuronga maguta kana zvidzidzo zvezvehupfumi hwevanhu. Kuziva kuti zvinobva kuhurumende dzehurumende pamatanho akasiyana (nyika, matunhu nematunhu) kunoita kuti dzive dzakakosha uye, sezvo dziripo kuti dziwanikwe uye dzishandiswezve, dzinoshanda sehwaro hwemhinduro dzakawanda dzepachivande nedzeveruzhinji.

Mashandisirwo anoshanda enzvimbo yenzvimbo muhupenyu hwezuva nezuva

Kana tikachinja kubva padanho rezvesangano neresainzi kuenda kuhupenyu hwezuva nezuva, nzvimbo inozviratidza mu maapplication akawanda atinoshandisa nguva dzose tisingatombofungi nezvazvoDzimwe dzinotibatsira kuwana nzira yedu, dzimwe dzinotibatsira kusangana nevanhu, dzimwe dzinotibatsira kutamba mitambo kana mitambo tichishandisa guta sebhodhi.

Munyaya dzehukama hwevanhu, mapurogiramu akaita seTinder akaita kuti kushandiswa kwenzvimbo dzenzvimbo kuve kwakakurumbira. Ratidza vanhu vari pedyo vane zvavanofarira zvinoenderanaApp iyi inoshandisa nzvimbo yefoni uye data remafaira esocial media kukurudzira vanhu vanobatana vari munzvimbo yakati wandei, zvichiwedzera mikana yekusangana nevanhu vemunharaunda. Grindr, panguva iyi, akachinja kufambidzana kwevarume nekuronga mapurofayiri zvichienderana nekuswedera pedyo, zvichiita kuti ive chishandiso chinoshanda zvikuru munharaunda yayo.

Kunewo mashandisirwo anoshanda kwazvo emabasa ari nyore se yeukai patakamisa motaCar Locator inokutendera kuti uchengetedze nzvimbo chaiyo yemotokari yako, uone mepu ine nzvimbo yayo, tarisa nhoroondo yekupaka, uwane nzira dzekudzoka, uye kugovana nzvimbo yacho nemumwe munhu. Inosanganisirawo zvinhu zvakaita seradar inoratidza daro rinenge riripo kubva kumotokari yako.

Nezvemotokari nekutyaira, Waze yakazvisimbisa seimwe ye Mepu dzemagariro evanhu dzine simba rekuziva mamiriro emigwagwaMamiriyoni evashandisi vanogovana zviitiko, kuwanda kwemotokari, tsaona, nenzvimbo dzekutarisa, uye app iyi inoshandisa ruzivo irworwo rwese kuti ipe dzimwe nzira, nguva dzinofungidzirwa, uye kufamba-famba nenzwi. Kana vatyairi vakanyanya kuishandisa, mamapu anovandudzwa zviri nani uye ruzivo rwepanguva chaiyo runowedzera kuva rwakarurama.

Mamwe maapplication, akadai seFoursquare, akanyanya kutarisa pa Kurudzira nzvimbo dziri pedyo dzekudyira, dzekubuda, kana kurongaZvichienderana nenzvimbo yauri, app iyi inokurudzira nzvimbo dzakarongwa nezvikamu, neratings, mapikicha, uye wongororo kubva kune vamwe vashandisi. Kunyangwe basa rekupinda rakatamisirwa kuSwarm, iro rinokutendera kuti ugovane nzvimbo yako neshamwari uye uone kuti vari kupi, Foursquare ichiri nzvimbo inoshandiswa nevaraidzo yakavakirwa panzvimbo.

Kunewo maturusi akagadzirirwa shandura nzvimbo kuita mitambo kana zviitiko zvekutsvagaMazita akadai seIngress anoshandisa nyika chaiyo sebhodhi rehurongwa, uko vatambi vanofamba-famba kuti vakunde nzvimbo dzekudzora, nepo Sacracy RPG ichipa GPS mode inokumanikidza kufamba-famba muguta kuti hunhu hufambe mumutambo, uchibatanidza kurovedza muviri, kuongorora uye kutamba mutambo.

Kufamba, kushanya, mitambo uye mamwe mashandisirwo enzvimbo

Kufamba kwevanhu mumaguta ndeimwe yenzvimbo dzinonyanya kukanganiswa ne geolocation. Mepu, nzira uye mapurogiramu ekufambisa veruzhinji Zvave zvakakosha mumaguta mazhinji, zvichibatsira kuderedza kuvimba nemotokari dzevanhu uye kushandisa network iripo zviri nani.

Google Maps pamwe ndiyo muenzaniso unozivikanwa zvikuru: inopa mamepu ane ruzivo rwakadzama enyika dzinopfuura 220Kufamba netsoka, kutyaira, kutakurwa kwevanhu, kana kutasva bhasikoro; ruzivo rwemigwagwa iri pedyo nenguva chaiyo mumaguta zviuru; uye maonero eStreet View ekuongorora nharaunda yako. Zvese izvi zvinoenderana nekuchinja nzvimbo yemudziyo wako, kufukidza data kubva kunzvimbo dzakasiyana-siyana, uye kugadzirira maficha epamusoro akadai sekufanotaura nguva uye mamwe maitiro ekuverenga nzira.

Citymapper inonyanya kuita basa iri nzira dziri mumaguta makuru, dzichibatanidza nzira dzakasiyana dzekutakuraInokubvumira kuronga nzendo netsoka, kutakura veruzhinji neruzivo rwekusvika panguva chaiyo, bhasikoro rakagovaniswa, kana tekisi, kuverenga nguva, mitengo inofungidzirwa, uye kuenzanisa dzimwe nzira. MuSpain, inowanikwa mumaguta makuru akadai seMadrid neBarcelona, ​​​​kwava chishandiso chakajairika kune avo vanofamba vasina mota.

Muchikamu chekushanya, mafomu akaita seTourist Eye akazvipira kuronga mafambiro uye kushandiswa kwemamepu nevatungamiriri pasina kushandisa internetZvinonyanya kubatsira kana uchifamba kunze kwenyika usina data renharembozha, sezvo zvichikubvumidza kudhawunirodha ruzivo usati waenda uye kuramba uchigamuchira mazano enzvimbo dziri pedyo kana mafambiro anokurudzirwa usiri paindaneti. Kusanganiswa uku kwenzvimbo nenzvimbo uye zviri mukati meindaneti kunosimudzira ruzivo rwemufambi.

Kunewo mapurogiramu ezvekudya akaita seFoodspotting anobatsira tsvaga nzvimbo yakakodzera yekudyira zvichienderana nerudzi rwechikafu chaunodaApp iyi inotarisa pamifananidzo neongororo kubva kune vamwe vashandisi, uye inoshandisa nzvimbo yako kuratidza maresitorendi ari pedyo anopa rudzi irworwo rwechikafu, zvichiita kuti zvive nyore kusarudza ipapo ipapo.

Mumitambo, mhinduro dzakadai seRuntastic dzinoratidza nhamba dzenzira nedzidzo yevanomhanya, vanotasva mabhasikoro, kana vamwe vatambiNekuda kwenzvimbo, nzira dzinogona kurongwa nenguva chaiyo, kumhanya, shanduko dzekukwirira, uye daro rinogona kuongororwa, uye mhedzisiro inogona kugoverwa. Rudzi urwu rwechishandiso rwakasimudzira tsika yekuyera maekisesaizi uye kuisa zvinangwa zvinoenderana nedata.

Chekupedzisira, kune mamwe maapplication asina kujairika akadai seNSA Photo Spy, ayo mapoka mapikicha everuzhinji ari munzvimbo dzakasiyana kubva pamapuratifomu akadai seFlickr kana Instagram uye inovaratidza zvichienderana nenzvimbo yemepu yaunosarudza. Izvi zvinokutendera kuti uone rudzi rwezviri mukati zvinogadzirwa munharaunda chaiyo kana kuti uongorore chero chikamu chenyika nemaziso, nekungoisa chiratidzo pamepu.

Nzvimbo, vabatsiri vakangwara, uye kutarisa zvakatipoteredza

Vabatsiri vemunhu uye maapplication ekutarisa vanoshandisawo mukana we geolocation kuti kupa ruzivo rwezviri kuitika panguva yakakodzera uye panzvimbo yakakodzeraChikamu chikuru chezvatinoti "hungwaru" mumafoni emazuva ano chinosanganisira kusanganisa karenda, tsika nenzvimbo.

Google Now (yakabatanidzwa muGoogle ecosystem) muenzaniso wakajairika: Inoona kana uchifanira kukwira ndege, nguva yaunowanzoenda kubasa, kana kuti kero yako yekumba ndeipi.Zvichibva paruzivo irworwo nenzvimbo yauri, inoverenga kuti zvichatora nguva yakareba sei kuti usvike ikoko, nzira ipi yakanakisisa, nguva yaunofanira kubva pamba, uye nzira dzipi dzekufambisa dzeveruzhinji dziripo. Inopawo mazano enzvimbo dziri pedyo dzekudyira, inokuyeuchidza nezvekusangana, uye inokutumira zviziviso panguva yakakodzera zvichienderana nenzvimbo yako.

Padanho rakabatana zvakanyanya nekutarisa denga, Google Sky Map inoshandisa mukana we masensa uye nzvimbo yefoni kuti iratidze nyeredzi nemapuranetiIngonongedzera mudziyo wako mudenga uye app yacho icharatidza mepu yenyeredzi inoenderana nayo, kana kutsvaga muviri wekudenga worega foni yako ichikutungamira munzira chaiyo yekuiwana. Ichi chishandiso chinobatsira zvikuru kune vanofarira zvenyeredzi vane materesikopu nevanhu vanoda kuziva vanongoda kudzidza kuziva mapoka enyeredzi.

Kusanganiswa kwenzvimbo nenzvimbo dzezviziviso zvakangwara kunoita kuti mafomu ekushandisa anogona kufanoona zvatinodaKubva pakukurudzira resitorendi iri pedyo panguva yekudya kwemasikati kusvika pakutinyevera kuti tichanonoka kumusangano kana tikasabva izvozvi, munzvimbo dzakaoma dzemaguta, mamiriro ezvinhu aya anobatsira kuderedza kusawirirana uye kuita kuti vanhu vakurumidze kuita sarudzo.

Iyi nharaunda yese, pamwe chete nemapurojekiti eruzivo rwepamutemo uye kutsvagisa maitiro ekufamba, zvinopa mufananidzo nzvimbo ine nzvimbo yemaguta inopfuura kadonhwe kebhuruu pamepuInzvimbo yakanyarara inoita kuti hutungamiriri hweguta huve hwakangwara, mabasa everuzhinji akagadziridzwa zviri nani, ruzivo rwakakura rwedhijitari, uye kunzwisisa kwakadzama kwemafambiro edu nekugara kwedu munzvimbo dzemaguta.

Kugara munzvimbo dzemaguta kwave kubatanidzwa mumaitiro edu, mitemo yeruzhinji, uye nzira dzebhizinesi zvekuti kwave kusingaonekwe, asi kunyatsoongorora kunoratidza kuti sei Inobatanidza data rekufamba, masevhisi epamutemo, maapplication ekuzorora, kutakura, kushanya nemitambo mune network inotsigira hupenyu hwakawanda hwemazuva ano mumaguta; kufambira mberi kwayo kuri kuramba kuchienderera mberi, kuchitsigirwa nebig data, GIS uye machine learning, zvinoisimbisa seimwe yenheyo huru dzemaguta akangwara emazuva ano uye emangwana ari pedyo.

Low emission zone
Nyaya inoenderana:
Nzvimbo dzakaderera-emission: zvavari, mashandiro avanoita, uye chii chaunofanira kuziva