Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
「報道で使える地理空間データ」
Search
furuhashlab
March 23, 2022
Technology
0
130
「報道で使える地理空間データ」
20220323_Yomiuri DX-VOICES地理データ勉強会
furuhashlab
March 23, 2022
Tweet
Share
More Decks by furuhashlab
See All by furuhashlab
津田塾 地理情報システム入門2022 #02
furuhashilab
0
180
津田塾地理情報システム入門2022 #01
furuhashilab
0
220
空間情報システム入門I #06
furuhashilab
0
140
20220712_情報社会論 #13
furuhashilab
0
190
20220705_情報社会論 #12
furuhashilab
0
220
空間情報システム入門I #03
furuhashilab
0
180
20220628_情報社会論 #11
furuhashilab
0
230
空間情報システム入門I #02
furuhashilab
0
180
20220622_情報社会論 #10
furuhashilab
0
210
Other Decks in Technology
See All in Technology
組織全員で向き合うAI Readyなデータ利活用
gappy50
3
1.1k
re:Invent 2025の見どころと便利アイテムをご紹介 / Highlights and Useful Items for re:Invent 2025
yuj1osm
0
160
オブザーバビリティと育てた ID管理・認証認可基盤の歩み / The Journey of an ID Management, Authentication, and Authorization Platform Nurtured with Observability
kaminashi
1
890
RemoteFunctionを使ったコロケーション
mkazutaka
1
120
コンパウンド組織のCRE #cre_meetup
layerx
PRO
1
270
マルチエージェントのチームビルディング_2025-10-25
shinoyamada
0
200
[re:Inent2025事前勉強会(有志で開催)] re:Inventで見つけた人生をちょっと変えるコツ
sh_fk2
1
540
From Natural Language to K8s Operations: The MCP Architecture and Practice of kubectl-ai
appleboy
0
270
SOTA競争から人間を超える画像認識へ
shinya7y
0
580
Oracle Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
0
370
AWS DMS で SQL Server を移行してみた/aws-dms-sql-server-migration
emiki
0
250
abema-trace-sampling-observability-cost-optimization
tetsuya28
0
160
Featured
See All Featured
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.5k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
34
2.3k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
140
34k
The Pragmatic Product Professional
lauravandoore
36
7k
Statistics for Hackers
jakevdp
799
220k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.1k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
Designing for Performance
lara
610
69k
Producing Creativity
orderedlist
PRO
347
40k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
46
7.7k
Mobile First: as difficult as doing things right
swwweet
225
10k
Transcript
@:PNJVSJ%970*$&4ཧσʔλษڧձ ʮใಓͰ͑Δཧۭؒσʔλʯ ݹڮେ ຊਤֶձ੨ࢁֶӃେֶ$SJTJT.BQQFST+"1"/ ࡂυϩʔϯٹԉୂ%30/&#*3%ୂ NBQPDPODJFSHF $$#:4"
ݹڮେ5BJDIJ'636)"4)* !NBQDPODJFSHF
ਤ
ਤ υϩʔϯඈͤΔ
None
ٿࣾձڞੜֶ෦ʛडݧੜԠԉϜʔϏʔ IUUQTZPVUVCFOY"G-VPGZ"
IUUQTZPVUVCFOY"G-VPGZ"
ݪಜͱ͍͑
ശࠜӺ
ശࠜӺͷ࠷େݟͤ
ശࠜӺͷ࠷େݟͤ lԟ࿏̑۠ࢁొΓz
࠷ઌͷࡾ࣍ݩਤͰ ശࠜӺΛ ͬͱ ໘ന͘Ͱ͖ͳ͍͔ʁ
ശࠜӺ% IUUQTOBHJYHJUIVCJPIBLPOFFLJEFO
None
None
57 1$͕ ࠷ߴͷΤϯλϝ
ࡾ࣍ݩࢢϞσϧ σδλϧπΠϯ
IUUQTJOGPUPLZPEJHJUBMUXJONFUSPUPLZPMHKQ
IUUQTUXJUUFSDPN.JUBNB4BLVNBSVTUBUVT IUUQTUXJUUFSDPNOPSJUTVOFUTVOFTUBUVT IUUQTQSUJNFTKQNBJOIUNMSEQIUNM IUUQTQSUJNFTKQNBJOIUNMSEQIUNM IUUQTXXXNMJUHPKQQMBUFBVOFXTFSWJDF IUUQTXXXNMJUHPKQQMBUFBVOFXTFSWJDF
IUUQTXXXEJHJUBMTFSWJDFNFUSPUPLZPMHKQTPDJFUZEJHJUBMUXJOIUNM
 21 https://www.mlit.go.jp/plateau/learning/
ͳͥ δϟʔφϦζϜʹ ཧۭؒใ͕ॏཁͳͷ͔ʁ
݄
෩߸ ҏ౾େౡ࠭ࡂ
࣌ͷใಓ lେౡொݩொzͰେنͳ࠭ࡂ
None
ݩொத৺෦
ใಓʹΑͬͯ Θͬͨใ lݩொશҬ͕ ඃਙେz
None
աେͳใಓʹ༠ಋ͞Εͯ ຊͷऔҾઌ͔Β औҾதࢭͷ࿈བྷ͕͖ͨ
ଈߋ৽͞Εͨ 04.ͷਤΛূڌʹ ͷແࣄΛઆ໌
Photo by Noriyuki Hayashi
8) XIFOʢ͍ͭʣɺXIFSFʢͲ͜Ͱʣɺ XIPʢ୭͕ʣɺXIBUʢԿΛʣɺ XIZʢԿނʣɺIPXʢͲͷΑ͏ʹʣ
8) XIFOʢ͍ͭʣɺXIFSFʢͲ͜Ͱʣɺ XIPʢ୭͕ʣɺXIBUʢԿΛʣɺ XIZʢԿނʣɺIPXʢͲͷΑ͏ʹʣ
ใಓͰΘΔ8IFSFͷѻ͍
IUUQTFEJUJPODOODPNFVSPQFMJWFOFXTVLSBJOFSVTTJBQVUJOOFXTI@BFBCGBBGGBE
IUUQTFEJUJPODOODPNFVSPQFMJWFOFXTVLSBJOFSVTTJBQVUJOOFXTI@BFBCGBBGGBE /PSUIFBTUPG.BSJVQPM ϚϦϙϦͷ౦
None
ཧۭؒใΛ͏ίπ
ᶃҢܦͰ͑Δ
IUUQTUXJUUFSDPNNF@NBSDPTUBUVT
IUUQTUXJUUFSDPNNF@NBSDPTUBUVT
None
ҢܦΛ͑Δͱ͖ ʮेਐܦҢʯͰʮΧϯϚ۠Γʯ ଌܥʮ8(4ʯҰ
͘Ε͙Ε چຊଌܥͰ ඵ Θͳ͍͜ͱ
ᶄదͳσʔλܗࣜ
,.-,.; (FP+40/ 9:;5JMF (PPHMF &BSUI ଞɺ2(*4ɺ"SD(*4ͳͲ༷ʑͳ(*4πʔϧʹల։Մ ೳɻɾઢɾ໘͚ͩͰͳ͘ɺӴը૾ͷΑ͏ͳը૾σʔλɺε τϦʔτϏϡʔͷΑ͏ͳύϊϥϚࣸਅͳͲల։Մೳɻ Σϒਤʹల։͢Δ߹ͷ૬ޓޓੑ,.-Λ͑Δɻୠ͠ɾ ઢɾ໘͚͔ͩ͠ѻ͑ͳ͍ɻ(JU)VC(JTUͰࣗಈϨϯμϦϯάػೳ͕
ಇͨ͘Ίɺσʔλڞ༗ͱՄࢹԽ͕༰қɻ (PPHMF.BQT͕ൃ໌ͨ͠େ༰ྔͷཧۭؒใ৴ϓϩτίϧɻॳը૾λ ΠϧͷΈ͕ͩͬͨɺࠓ.BQCPYʹΑΔϕΫτϧλΠϧϓϩτίϧීٴ͠ɺ ཧӃਤ0QFO4USFFU.BQɺ.BQCPYɺ$FTJVNɺ(PPHMF&BSUI8FCͳͲͰ ల։͕Մೳɻୠ͠λΠϧσʔλੜ࡞ۀͦΕͳΓʹԋࢉϦιʔεඞཁɻ
%&.0
ᶅ4/4Ͱͷใڞ༗εΩϧ
݄ ւ࠭ࡂ
ʮ7JSUVBM4IJ[VPLBʯ ʮ࢜ࢁνϟϨϯδϓϥοτϑΥʔϜʯ ؔऀ͔Β l੩Ԭ܈αϙʔτνʔϜʹ Λ͔͚ΒΕΔɻ
ʮ7JSUVBM4IJ[VPLBʯ ʮ࢜ࢁνϟϨϯδϓϥοτϑΥʔϜʯ ؔऀ͔Β l੩Ԭ܈αϙʔτνʔϜʹ Λ͔͚ΒΕΔɻ
None
None
None
None
ਖ਼ࣹӨ ΦϧιϞβΠΫը૾࡞
IUUQTXXXHFPTQBUJBMKQDLBOEBUBTFUBUBNJJ[VTBOTIJ[VPLBQSFG
IUUQTXXXHFPTQBUJBMKQDLBOEBUBTFUBUBNJJ[VTBOTIJ[VPLBQSFG 9:;λΠϧͰ ৴
IUUQTYWJFXCPTBJHPKQWJFXJOEFYIUNM BQQJEGGGGDECCCFBGBG
IUUQTHJUIVCDPNDSJTJTNBQQFSTKBQBOBUBNJJ[VTBOWTIJ[VPLBVBW@MJEBS
IUUQTHJUIVCDPNDSJTJTNBQQFSTKBQBOBUBNJJ[VTBOWTIJ[VPLBVBW@MJEBS ࡾ࣍ݩ܈σʔλΛ (JU)VC1BHFTͰ ଈ৴
IUUQTDSJTJTNBQQFSTKBQBOHJUIVCJPBUBNJJ[VTBOWTIJ[VPLBVBW@MJEBS
੩Ԭ܈αϙʔτνʔϜ͕ ػೳͨ͠ཧ༝ ීஈ͔ΒͷίϛϡχςΟ׆ಈ 0QFOCZ%FGBVMUͷจԽ 4/4ʹΑΔޮతͳӡ༻ ʢϝʔϧͰͷΓͱΓθϩʣ
੩Ԭ܈αϙʔτνʔϜ͕ ػೳͨ͠ཧ༝ ීஈ͔ΒͷίϛϡχςΟ׆ಈ 0QFOCZ%FGBVMUͷจԽ 4/4ʹΑΔޮతͳӡ༻ ʢϝʔϧͰͷΓͱΓθϩʣ
࣮ࡍʹɺΫϥΠφةػͷ Ϛοϐϯά࡞ۀͰ ଟ͘ͷใಓؔऀ͕ զʑͱνϟοτͰΓͱΓ͠ ࢧԉͯ͘͠Ε͍ͯ·͢ɻ
ᶆ1FSNBMJOL63-
%&.0
ᶇϥΠηϯε
IUUQTXXXQMBOFUDPNHBMMFSZQPTUBOUPOPWBONZSJB
IUUQTXXXQMBOFUDPNHBMMFSZQPTUBOUPOPWBONZSJB
$$#:/$
IUUQTXXXXTGDTLODVT1BHF
IUUQTXXXXTGDTLODVT1BHF
IUUQTXXXXTGDTLODVT1BHF
ϑΣΞϢʔε
Google Ϛοϓ / Google Earth Ճར༻ن ࠷ऴߋ৽: 2022 1
݄ 12 IUUQTXXXHPPHMFDPNJOUMKBIFMQUFSNT@NBQT
Google Ϛοϓ / Google Earth Ճར༻ن ࠷ऴߋ৽: 2022 1
݄ 12 IUUQTXXXHPPHMFDPNJOUMKBIFMQUFSNT@NBQT
·ͱΊ ᶃҢܦͰ͑Δ ᶄదͳσʔλܗࣜ ᶅ4/4Ͱͷใڞ༗εΩϧ ᶆ1FSNBMJOL63- ᶇϥΠηϯε
None
ใಓͷํʑͷ ͓ئ͍ͱͯ͠
χϡʔεૉࡐΛ༻͍ͨ ϑΣΞϢʔεͷ ೝ
IUUQTUXJUUFSDPNMJMFB-BCTUBUVT
χϡʔεૉࡐʹͳΒͳ͔ͬͨ ίϯςϯπͷ Φʔ ϓϯԽ
None
ݹڮେ5BJDIJ'636)"4)* !NBQDPODJFSHF Ұԯ૯ҏೳԽ